Modeling Analyst Resume Samples

The Guide To Resume Tailoring

Guide the recruiter to the conclusion that you are the best candidate for the modeling analyst job. It’s actually very simple. Tailor your resume by picking relevant responsibilities from the examples below and then add your accomplishments. This way, you can position yourself in the best way to get hired.

Craft your perfect resume by picking job responsibilities written by professional recruiters

Pick from the thousands of curated job responsibilities used by the leading companies

Tailor your resume & cover letter with wording that best fits for each job you apply

Resume Builder

Create a Resume in Minutes with Professional Resume Templates

CHOOSE THE BEST TEMPLATE - Choose from 15 Leading Templates. No need to think about design details.

USE PRE-WRITTEN BULLET POINTS - Select from thousands of pre-written bullet points.

SAVE YOUR DOCUMENTS IN PDF FILES - Instantly download in PDF format or share a custom link.

Create a Resume in Minutes

D Swaniawski

Delia

Swaniawski

4209 Beahan Club

Detroit

+1 (555) 792 5845

4209 Beahan Club

Detroit

Phone

p +1 (555) 792 5845

Experience Experience

Houston, TX

Modeling Analyst

Houston, TX

White-Deckow

Houston, TX

Modeling Analyst

Perform full cycle model design and development from target definition through to implementation and performance measurement
Create customer segmentation schemes that will provide our analytic teams with insights into our customers
Assist Service Director and management in gathering and mining SAP data
Provide recommendations to campaign managers ahead of major programs
Work with key stakeholders and connect with cross functional groups to foster good relationships to drive continuous improvements in our tools and processes
Work with IT and Data Reporting team on the evaluation of data management
Assist / control in SAP rollouts

Philadelphia, PA

Predictive Modeling Analyst

Philadelphia, PA

Jerde-Keebler

Philadelphia, PA

Predictive Modeling Analyst

Perform Modeling & Simulation to determine mission impacts of near and long term future enterprise capabilities for providing geospatial information support
Establish model schedules or invoke real time through workflow and other application integration
Initiative/Work Ethic – Drives efforts to completion setting and managing personal goals. Proactively seeks out opportunities to ensure successful outcomes
Coordination of future acquisition and development activities
Maintain and enhance predictive models. Identify and recommend improvements
Develop and maintain predictive models using data mining and SPSS statistical tools
Provide analytics and model recommendation insight

present

Houston, TX

Catastrophe Modeling Analyst

Houston, TX

Swaniawski, McGlynn and Kutch

present

Houston, TX

Catastrophe Modeling Analyst

present

Work closely with all stake holders on all aspects of the reinsurance financial placement process
Providing insurance account data entry, enhancement, coding and modeling support to underwriting and regional catastrophe teams globally
Providing catastrophe modeling results to support the pricing and underwriting process
Perform desktop reviews
Integrate and analyze data from multiple sources as to reach conclusions and make recommendations
Analyze client exposure value data and assess fitness for use for catastrophe modeling
Familiarity and comfort with manipulating large data sets

Education Education

Bachelor’s Degree in Statistics

The Ohio State University

Bachelor’s Degree in Statistics

Skills Skills

Advanced ability to turn data and information into actionable insight and solving problems
Ability to make good decisions based on a mixture of analysis, experience and judgment
Ability to make good decisions based on a mixture of analysis, experience and judgment Advanced awareness of how strategies and tactics work in the marketplace
Results oriented approach with the ability to turn data and information into actionable insight to solve problems
Work with key stakeholders and connect with cross functional groups to foster good relationships to drive continuous improvements in our tools and processes
Strong relationship building and communication (written and oral) skills
Ability to apply creative thinking to come up with new and unique ideas
Knowledge of insurance products
Expert ability to use decision science software (SAS, JMP, etc.)
Ability to work on multiple projects at once

Create a Resume in Minutes

15 Modeling Analyst resume templates

Read our complete resume writing guides

Ppnr Modeling Analyst Resume Examples & Samples

Aid in design, building, implementation, and support of quantitative models to forecast of all key Pre-provision Net Revenue components across the company for use in internal forecasting, capital stress testing and CCAR exercises
Design models to fit business model and internal data and acquire required data
Maintain a clear documentation trail of approach and process
Ensure consistency across models employed for forecasting and stress testing
Improve model intelligence by liaising with internal and external resources
Periodically perform quality and performance testing on models
Remain abreast of modeling research and development
Conduct econometric and statistical analysis of times series and panel data sets
Generate data extracts and reports for use in statistical analysis
Master’s degree and Ph.D. in a quantitative field
5 years’ experience in a quantitative field
Solid background in economics
Solid knowledge of one or more primary statistical modeling tools

Senior Modeling Analyst Resume Examples & Samples

Flexibility and resourcefulness to interface and collaborate with internal and external groups
Investigative skills
Team building and interpersonal skills

Scoring, Analytics & Modeling Analyst Resume Examples & Samples

Intense US & local regulatory requirements for Model & Segmentation Management
Intense support for Models documentation, MIS and submissions
Ad hoc analysis to support Global Reporting, GCCFRP compliance (Ch 17-Model Risk Management), Audit follow ups, in addition to ensuring all regional deliverables to Global Risk, Country Risk, Finance and Business segments
Master’s Preferred (MBA, Statistics, Econometrics, Ops Research). BA with experience will be considered
English required and Spanish is a plus
Experience in analytics, statistics, and modeling experience desirable
Modeling and Segmentation with SAS, Triad, Chaid
XLS Power user, XLS macro knowledge; SAS experience desirable
Project Management and/or Six Sigma Process certification desirable
Excellent PC skills (MS Word, Excel, PowerPoint) are required
Strong technical, analytical and communications skills (written and verbal in English)
Must be a team player, very self-motivated and able to manage and prioritize workload
Ability to design MIS reports via Cube or SAS platforms

Plcc-lead Risk Modeling Analyst Resume Examples & Samples

Develop predictive models, statistical analyses, optimization procedures, monitoring processes, data quality analyses, and score implementations. (40%)
Participate in overall project design and delivery with Risk Analytics’ other functional teams and end-clients. (10%)
Validate, track, and monitor delivered projects. (20%)
Produce robust documentation to ensure replicability of results and fulfill Barclays governance requirements. (15%)
Work constructively with other Barclays resources to deliver projects.(5%)
Work with other RA staff to ensure project completion within agreed time frames and end-client satisfaction. (5%)
Contribute to the broader Risk Analytics department through participation in peer reviews, terms of reference reviews, modelling forums, and ad hoc project collaboration. (5%)

Business Modeling Analyst Lead-igrafx Resume Examples & Samples

Loading the firmwide process hierarchies and glossary frameworks into the CCB environment ensuring that users correctly link their models to the firmwide standards
Helping enforce CCB’s governance around the structure, organization and content of models
Managing and supporting the platforms process reporting capability, ensuring that reports are structured to meet the CCB business’ needs
Administering the different modelling repositories, controlling naming and access rights
Provide training and assistance to users on how to effectively use the tool in accordance with JPMC standards
5+ years' experience of business process modeling with a deep knowledge of the different types of models and the industry best practice in their creation, management and standardization
3+ years' experience of Process Modelling Tool, administration and configuration where configuration covers tasks such as setting up standard templates, account management, and the creation of repositories
3+ years' experience with MS Visio process models
Experience with designing and governing meta-models
Specific experience supporting and administrating iGrafx Process Modelling toolset including supplementary tasks such as the customization of iGrafx templates (knowledge of iGrafx is a key differentiator for this role)
Experience in using and/or supporting OpenText ProVision
Experience with the import and export of data from process modeling tools

Operational Risk Modeling Analyst Resume Examples & Samples

Be the group's liaison and point of contact for operational risk modelling in the US. Support the communication to senior management and the various governance groups as well as the regulatory bodies
Support the ongoing development of the Group's stress testing capabilities in relation to the Operational Risk and the incorporation of these in the regulatory frameworks (CCAR, ICAAP, etc)
Support the Operational Risk scenarios process in the US IHC
Provide quality assurance (testing, documentation) on all quantitative elements of the operational risk model to ensure internal/external approval
MSc or PhD in quantitaive dicipline with strong preference for statistics and applied probability
4-6 years of work experience in a financial institution with solid understanding and practical experience of model development
Excellent mathematical and computing skills
Outstanding Analytical and Problem Solving skills
Ability to communicate complex concepts to varied audiences in a logical and precise manner
Strong organisational skills and ability to work under pressured timelines

Lead Modeling Analyst Resume Examples & Samples

Develop, implement and manage holistic strategies for modeling (design, development, validation, calibration, documentation, approval, implementation, monitoring and reporting), in collaboration with Risk Modeling Leader Conduct analytics to validate the performance of existing quantitative risk models, recommend changes, and support gap closing projects
L supporting data warehouses in terms of accuracy and completeness; understand data and process structures from System of Record to Data warehouse to ensure accuracy and precision of data used for modeling, reporting and analysis
Develop and perform processes for model monitoring Establish and maintain strong relationships with key functional stakeholders (Risk, Finance, IT, Ops) Manage and guide supporting resources as required
Bachelor's degree in Risk related field (Accounting, Business, Economics, Finance, Math/Stat, Operations Research, etc. with Quantitative underpinning) with 5+ years of relevant Risk or Finance experience Strong business finance acumen, especially in Financial Services Industry Experience in underwriting, risk, actuarial, statistical reporting roles
Demonstrated experience in statistical model lifecycle management, including proficient level of expertise with at least one statistical modeling language/utility SAS (or equivalent) proficiency and expertise building and implementing routines for data transformation Demonstrated strong SQL skills and experience delivering SQL code and supporting physical database designs
Strong knowledge of MS office tools, and data mining tools (Access, SQL, BO, SAS, etc.)
Graduate degree in Risk related field (Accounting, Finance, Economics, Math/Stat or Operations Research with Quantitative underpinning); FRM and CFA a plus Familiarity with Basel Initiative, Treasury operations and regulatory matters
Experience in management of, or results driven contribution to, cross-functional teams (Risk, Finance, IT, Operations) Strong knowledge of commercial finance Demonstrated ability to lead and support projects from beginning to end Self-starter, ability to work independently in a fast paced environment and deliver solid action oriented results quickly
Excellent oral and written communication skills Strong interpersonal and team management skills

Lead Modeling Analyst Resume Examples & Samples

Conduct analytics to validate the performance of existing quantitative risk models, recommend changes, and support gap closing projects
Manage model supporting data in terms of accuracy and completeness; understand data and process structures from System of Record to Data warehouse to ensure accuracy and precision of data used for modeling, reporting and analysis
Drive standardization of processes that ensure timely generation and retrieval of reporting and risk analytics data, including support of model management framework Incorporate operational definitions and conceptual system designs to create algorithms that meet business reporting and analytics needs
Develop and perform processes for model monitoring
Establish and maintain strong relationships with key functional stakeholders (Risk, Finance, IT, Ops)
Manage and guide supporting resources as required
Must be willing to work out of an office in Chicago, Irving, Danbury, New York City, and Atlanta
Graduate degree in Risk related field (Accounting, Finance, Economics, Math/Stat or Operations Research with Quantitative underpinning) and two years of Modeling related expereince
FRM and CFA a plus Familiarity with Basel Initiative, Treasury operations and regulatory matters
Strong knowledge of commercial finance Demonstrated ability to lead and support projects from beginning to end

Senior Modeling Analyst Resume Examples & Samples

30%: Data and Information Expert: review internal and external data sources to achieve greater understanding about customers and opportunities. Initiate recommendations to manager and/or lines-of-business to enhance data set (third party, primary & secondary research, etc.)
40%: Analytics and Statistical Modeling: build statistical models to improve portfolio and campaign performance through better targeting and understanding. Develop solutions for frontline usage which will ultimately improve profitability
30%: Strategy development and Implementation: provide modeling recommendations and customer insights that support our Marketing partners’ goals and expectations. Document and present insights and analysis to our partners in a manner that can be understood by those with various backgrounds. Assist in the implementation of strategy
5 years’ experience in database marketing analytics and modeling, preferably in retail and commercial banking
A passion for bringing advanced analytics to inform marketing decisions
Expert knowledge of SAS, SQL or equivalent as well as analytical research and experience working with large datasets
Advanced University degree in an analytical discipline such as Statistics, Mathematics, Economics, Operations Research or Engineering
Skilled Knowledge: Analytical Thinking; Data Mining; Data Modeling; Problem Solving
Ability to clearly communicate results of analysis and models to both sophisticated technical experts and to diverse business partners

Modeling Analyst Resume Examples & Samples

Bachelor’s degree in Economics, Finance, Math, Statistics or a related scientific/quantitative field
3+ years of experience as an analyst (1+ years with a Master’s degree)
Skilled in financial modeling, predictive modeling, statistical analysis and/or optimization techniques
Comfortable using analytical software such as SAS or similar statistical packages
Efficient database querying and data exploration skills using SQL
Ability to create data visualizations and presentations using Excel and Power Point
Critical thinking along with the courage to challenge the status quo
Assertive and confident communication skills
Ability to manage and prioritize multiple projects in a fast paced environment

Modeling Analyst Resume Examples & Samples

Master’s degree with a concentration in Math, Statistics, Data Science, Computer Science, Quantitative Social Science or a related discipline, preferred
Or, Bachelor’s Degree in Math, Statistics, Data Science, Computer Science, Quantitative Social Science or a related discipline, with 3+ years of analytic experience, required
Decision science analytic skills, including statistical analyses (predictive modeling, experiential design, optimization), statistical analysis and optimization techniques
Advance ability to use decision science software (SAS, JMP, etc.)
Familiarity with open source software/programming (R, Hadoop, Python etc.)
Strong relationship building and communication (written and oral) skills
Ability to work on multiple projects at once
Results oriented approach with the ability to turn data and information into actionable insight to solve problems
Ability to apply creative thinking to come up with new and unique ideas

Modeling Analyst Resume Examples & Samples

Master’s degree with a concentration in Math, Statistics, Marketing Science, Quantitative Social Science or a related disciple with 3+ years of analytic experience, preferred
Bachelor’s Degree in a related disciple with 5+ years of analytic experience, required
Advanced Decision science analytic skills, including statistical analyses (predictive modeling, experiential design, optimization), statistical analysis and optimization techniques
Expert ability to use decision science software (SAS, JMP, etc.)
Advanced ability to turn data and information into actionable insight and solving problems
Excellent relationship building and communication (written and oral) skills
Has a strong drive for results and pushes self and other for those results
Ability to make good decisions based on a mixture of analysis, experience and judgment Advanced awareness of how strategies and tactics work in the marketplace

Modeling Analyst Resume Examples & Samples

Master’s degree with a concentration in Math, Statistics, Marketing Science, Quantitative Social Science or a related discipline, preferred
Or a Bachelor’s Degree in a related disciple with 3+ years of analytic experience, required
Ability to make good decisions based on a mixture of analysis, experience and judgment

Modeling Analyst Resume Examples & Samples

Master’s degree with a concentration in Finance, Math, Statistics, Quantitative Science or a related disciple and 3+ years of analytic experience OR a Bachelor’s Degree in a related disciple with 5+ years of analytic experience
Advanced skills in financial modeling, predictive modeling, statistical analysis and/or optimization techniques
Expert user of analytical software such as SAS
Efficient database querying and data exploration skills
Talent in creating data visualizations and presentations using Excel and Power Point

Risk Modeling Analyst Resume Examples & Samples

Perform forensic data analysis and data mining to identify patterns of suspicious activity, outliers, anomalies and other issues that represent fraud risk
Develop, adjust, and /or maintain fraud detection models to prevent losses on real time on-line transactions, oversee the implementation process and design reports to validate the model periodically
Develop operational metrics and benchmarking through reporting and trending
Monitor industry trends in any fraud related areas, including new fraud pattern, service, detection tool and any new technology
Detect, define, and deter fraud and greater fraud schemes
Monitor operations for security and service quality, ensuring fraud products are delivered within established security guidelines and quality standards
Ensure fraud detection methods offered comply with financial industry security regulations and consumer privacy laws as they relate to the Company's operations
Provide leadership through successful coordination/collaboration with other Company departments, including Sales Operations, AR, OM, and Call Centers to ensure efforts are effective, successful and reflect the Company's strategy
Perform networking with other companies in the card-not-present payment environment to establish and leverage sound business practices
Performs ad-hoc investigative and statistical analytics to facilitate risk investigations and external stakeholders on their investigation of risk events

Senior Modeling Analyst Resume Examples & Samples

Work efficiently with clients and analytics partners to define, extract, and synthesize available data and share results and insight with Mullen Lowe U.S. team members
Assist in developing predictive models to support proactive "what-if" analysis and guide marketing and advertising decision-making
3-5 years of work experience in a professional services environment, consulting, advertising or internal client teams
1-3 years of advanced statistical analysis in a marketing/advertising environment, including but not limited to cluster analysis, media mix modeling and optimization, predictive analytics, and experimental design
Must have a masters degree in Statistics, Economics, Mathematics, Business, Marketing or other segmentation
Must have advanced knowledge and application of data extraction and statistical software such as SAS, SPSS, SQL, Microsoft Excel, and/ or others
Familiarity with statistical modeling, direct/digital marketing test designs, and audience segmentation
Must have advances knowledge and application od data extraction and statistical methods
Ability to work with analysts in model development and application of statistical methods
Ability to articulate strategic marketing implications of performance results for business audiences with clarity and persuasiveness
Balances desire for quantitative rigor with realities of inconsistent business date

Modeling Analyst, Channel Development Resume Examples & Samples

Design, implement, and deploy algorithms and models to inform pricing and promotional strategies
Analyze historical data and build forecasting systems to determine future business opportunities and metrics
Utilize advanced data mining and to solve for various algorithmic problems
Assist in providing a statistical forecast for both consumption and shipments based on historical trends and seasonality
Anlayze and enhance lift and coefficients models
Develop and automate predictive modeling processes
Functional experience in modeling, statistical analysis, or forecasting (2+ years)
Experience mining large data sets to deliver powerful business insights (2+ years)
Degree in Computer Science, Statistics, Ecomonics, Applied Mathmatics or related field
Strong background in data mining, machine learning, statistical analysis, SQL and modeling
Fluency in analytical tools such as SAS, Matlab or R
Experience with Tableau, Toad and Oracle preferred
Ability to model and anlyze pricing and promotion trends, activity and strategies
Proven ability to conduct large scale data analysis to provide key insight from data
Strong problem solving skills, and ability to apply them to complex problems

Modeling Analyst Resume Examples & Samples

Actuarial and statistical analysis experience required (Actuarial exams a strong plus)
Actuarial or modeling experience across multiple risk quantification disciplines/coverages
Brokerage actuarial/analytical experience is strongly advised
Other actuarial/analytical expertise levels valued : Workers Compensation, Predictive Modeling, Professional Lines, Life and Health, Financial Analysis, Nat Cat Modeling
Able to participate as a senior member of client-facing team(s)
Advanced computer modelling skills, higher level programing a strong plus

Launch & Pipeline Modeling Analyst Resume Examples & Samples

Bachelor's Degree in Business, Marketing, IT, Operations Research or related field
3+ years of experience in IT-related positions with relevant experience in user applications
Knowledge of IMS
Experience working with cross-functional/cross-divisional teams
Prior experience in a healthcare company, including but not limited to generics, large or specialty pharmaceutical, drug wholesaler environment

Quant / Modeling Analyst Resume Examples & Samples

Review the reasonableness of the conceptual approach and quantification techniques
Understand how the models are used in the decision-making process
Validation of models' appropriate use and predictive accuracy
Assessing model performance considering data inputs, model mechanics and model output
Verifying that validated models have been implemented correctly
Assessing adequacy of model owners monitoring and maintenance
Assessing model risks and limitations
Documentation of validation procedures and results
Keep abreast of industry best practice standards for model validation
Working collaboratively with model stakeholders in the validation process
May engage with regulators as needed to showcase independent review results
Supporting dissemination of Bank’s model development, documentation and validation standards
Bachelor's degree in Mathematics, Statistics, Financial Engineering, Business Analytics, Economics, or related field of study
Outstanding academic achievement
Strong accounting and financial acumen
Exceptional interpersonal and relationship-building skills
Relevant work or internship experience, a plus
Working knowledge of SAS, MATLAB or other advanced statistical software, a plus. Proficiency in programming languages C++ or VB, a plus

Catastrophe Modeling Analyst Resume Examples & Samples

Analyze client exposure value data and assess fitness for use for catastrophe modeling
Use commercial catastrophe modeling software to measure physical and economic loss from catastrophes for Willis Re clients and prospects
Interpret and explain model physical, financial, and economic outputs to colleagues/brokers/clients/prospects/reinsurers
Work closely with all stake holders on all aspects of the reinsurance financial placement process
Minimum of 2 years catastrophe modeling experience
Ability to work in an unstructured environment
Ability to understand model input data and explain outputs
Experience in using GIS Software
Bachelor’s degree from a credited four-year college or university – Concentration in fields such as mathematics, economic, and finance: Advanced degree a plus

Quant / Modeling Analyst Resume Examples & Samples

Develop, implement and monitor early and late stage delinquent account collection strategies
Develop tests of significance to determine whether results of champion/challenger tests are statistically meaningful
Document changes to strategies and the expected results
Assist in the creation of presentations to senior management to influence the direction of the business
Work with business partners to provide ad hoc reporting as required. Identify and deliver reporting to address key business needs
Bachelor’s degree in business, math, economics, statistics, or equivalent combination of education and experience in quantitative analytics is required
Knowledge of consumer banking products and/or collections experience a plus
Proficient in Excel, Powerpoint and using analytical tools such as SQL, SAS (required), and decision tree software
Work collaboratively with cross-functional members across the organization

Senior Catastrophe Modeling Analyst Resume Examples & Samples

Present modeled output in various forms to colleagues/brokers/clients/prospects/reinsurers
Minimum of 5 years catastrophe modeling experience
Skills in MS Excel, SQL Server and detailed commercial catastrophe models (RMS/AIR/EQE). Proven use of the model(s) is required
Ability to understand economic business context and regulatory context of catastrophe modeling
Proficient understanding of (re)insurance financial terms

Quant / Modeling Analyst Resume Examples & Samples

Ph.D. or Master's degree in finance, mathematics, statistics or other quantitative field
1-3 years of loss forecasting/ model validation experience
Experience with development of testing methodologies and creation of working papers
Advanced knowledge of statistics, mathematics and financial modeling
Proficiency in SAS or other advanced statistical software
Proficiency in the use of Microsoft Office with advanced experience in Excel
Ability to perform multiple tasks simultaneously to meet strict deadlines
Ability to work independently and in a team environment in collaboration with other team members and external consulting firms

Quant / Modeling Analyst Resume Examples & Samples

Conduct independent validations
Understand the conceptual framework and assumptions of the models and how the models are used in the business decision-making process
Assess model performance
Verify that validated models have been implemented correctly
Assess adequacy of model owner’s monitoring and maintenance
Assess model risks and limitations
Verify that model has been properly documented
Document the validation procedures and results
At least 1 year of loss forecasting/ model validation experience

Modeling Analyst Resume Examples & Samples

Create and maintain predictive statistical models used in consumer acquisition programs. Work with supervisor, marketing managers and business owners to identify opportunities for analysis
Apply existing models to marketing programs, provide tracking results of those programs
Design tests for marketing promotion (online/offline), analyze and report on program results
Assist in managing and improving consumer data sets; including promotions, purchases, site activity, and demographic data
Work with vendors to ensure that data are high quality and available
Compile and maintain appropriate documentation
Provide recommendations to campaign managers ahead of major programs
Complete ad hoc analytic tasks and reporting as needed
Master’s degree in statistics, math, economics, operations research or a related field is preferred. Will also consider candidates with a Bachelor's degree in a quantitative discipline, coupled with significant modeling or digital analytics experience
Data mining skills utilizing SAS, as well as R or Python. Capability with other data analysis languages/analytic platforms helpful – such as Hadoop, MongoDB, MySQL, etc
Expertise with applied statistics including regression, clustering, machine learning, CHAID, experimental design, and other techniques appropriate for large scale analysis of numeric and text data
Two or more years of business/marketing analytics experience, preferably in a consumer-based media organization
Ability to clearly communicate visualize analytic findings, in a compelling and actionable manner
Ability to build strong working relationships with partners in both quantitative and non-quantitative functional areas

Actuarial Modeling Analyst Resume Examples & Samples

Build, maintain and validate financial models for reinsurance pricing, in-force and new business rate setting, cash flow testing, DAC, reserve valuation, and corporate planning
Produce and summarize projections to support management and regulatory needs
Streamline and automate the input data used in projections and valuation and financial reporting processes. Work to streamline and automate the data output into efficiency reporting tools
Maintain well-controlled MG-ALFA or ArcVal models and updates all assumptions following the assumption governance process
Collaborate with individuals throughout the organization to optimize financial results, with a particular emphasis on model efficiency and effectiveness along with data integrity in all reports
Bachelor’s degree or higher in Actuarial Science, Mathematics, Statistics, or related field
ASA preferred, or demonstrated path toward earning SOA designations
Minimum 3 years professional experience, with some data analysis or modeling background
Well rounded professional experience, including using actuarial financial projection software
Advanced Microsoft Excel skills necessary, as well as competency with other MS Office applications
Be able to manage and analyze large data sets using tools such as MS Access, SQL Server or SAS preferred
Inquisitive and innovative
Forward-looking, including the ability to anticipate questions and develop responses in advance

Catastrophe Modeling Analyst Resume Examples & Samples

Knowledge of GIS principals, theories, and practices
Proficiency with Esri suite of software products
Proficiency with open source GIS packages
Proficiency of web based GIS
Ability to gather, understand, and critically analyze data from all relevant sources, such as Hydrology/weather/climate information/DEM, etc
Solid technical programming skills in high level scripting language (e.g., R, MATLAB, Python, etc.)
Familiarity and comfort with manipulating large data sets
Basic knowledge in statistics
Experienced on MS SQL Server
Hydrology and hydraulic background is a huge plus

Senior Modeling Analyst Resume Examples & Samples

This person must have expert data analytic and technical skills, very good follow-through on problem resolution and attention to details and demonstrate the ability to extract and synthesize data, determine trends and make recommendations based on facts and data
This candidate will need to be able to edit technical English documents
Must also have necessary abilities to integrate businesses needs with systems capabilities to achieve Citibank goals
Experience developing and validating models used for risk management of retail portfolios (credit scorecards, risk segmentations, portfolio forecasting and DFATS/CCAR) is a plus. Familiar with different model development methodologies (linear/logistic regression, multivariate analysis, CHAID, CART, time series, transition matrices, etc.) is a plus
Experience working with Consumer Credit Business MIS systems. The ideal candidate must have at least 7+ years in model management with 5+ years focused on model development/validation, business development of data /reporting/MIS requirements, supporting business needs with Technology
Knowledge of SAS, SPSS, R or other data mining/statistical software is a plus

Quality Modeling Analyst Resume Examples & Samples

Manage and participate in the quality review process for all internal and external requests
Interface with data vendors, modeling, technology and production personnel to assure timely and accurate implementation and maintenance of all Insurance attributes and models
Define thorough test requirements and objectives
Recognize and communicate realistic expectations around capabilities and deadlines
Author, review and troubleshoot modelers coding queries; this includes verifying modeling attributes are consistently defined and all data manipulation techniques work as expected
Participate in the verification of a product via user acceptance testing
Assist in the development of automated solutions to routine validations in order to gain efficiencies in the validation process
Facilitate internal communication to ensure timely updates of data streams that may affect any insurance model, attributes and decision criteria
Define and manage documentation for new variable aggregation, model specification, and model scorecards
Validate state insurance regulations affecting insurance products and verify models and reason codes are within regulatory compliance
Support and resolve ad hoc requests on consumer scoring results as submitted by internal departments
Define appropriate scoring documentation requirements and report formats to support ongoing data, attribute and score trending requirements
Responsible for measuring, maintaining and communicating score, attribute and data changes affecting insurance scoring products
Present analyses and findings as necessary
Assist team members as requested and actively participate in all team meetings
Bachelor’s degree in Mathematics, Statistics, or Engineering
At least 5-7 years data analytics, modeling development/validation or related experience
High degree of experience with analytical tools/programming languages such as SAS,
SQL, R, C++, ECL, and MS office products
Familiarity with the credit or insurance industry
Strong team player, constructive and considerate of others’ inputs with the ability to
Positively influence others, diplomatic skills, confident speaker even in difficult situations
Ability to multi-task and efficiently negotiate changing priorities and responsibilities
Basic understanding of modeling techniques and potential impacts of related assumptions and limitations

Modeling Analyst Resume Examples & Samples

High degree of complexity: knowledge of insurance products, features and risks; knowledge of financial modeling; use of stochastic interest rates
Experience with actuarial modeling software such as MG-ALFA or Prophet
Knowledge of insurance products
Strong communication and problem-solving skills
Technical skills such as programming languages and Excel

Senior Modeling Analyst Resume Examples & Samples

Familiarity with coding in SAS and SQL to extract and manipulate data from relational databases, preferably in Oracle, Teradata or Netezza
The candidate will be responsible for taking ownership of existing SAS and SQL codes of various statistical models, running it periodically and suggesting enhancements as needed
The candidate would have knowledge of statistical concepts to assist in statistical model building, performing market segmentations/clustering and playing a key part in the overall thought process for marketing optimization efforts
To be successful in this role, the candidate must be experienced with report generation and presentation with Microsoft Office tools
The selected candidate must also maintain a strong level of independence and possess the ability to think on their feet
Outstanding data analysis skills; advanced written and oral communication skills with the ability to summarize findings and present in a clear concise manner to peers, manager and others
Minimum 4 year college degree, preferably in science, applied statistics or other quantitative field. Master’s degree preferred
3+ years’ experience in SAS coding, preferably in enterprise guide
3+ years’ experience in using SQL to extract data from various relational databases. Experience with Netezza, Teradata and Oracle databases a plus
Familiarity with statistical concepts, Logistic/Linear regression modeling, Clustering, Hypothesis Testing is very desirable
Solid skills in Microsoft Office (Excel, PowerPoint, Access)
Must be able to work independently with limited direct supervision

Country Risk Modeling Analyst Resume Examples & Samples

Developing, validating and implementing relevant statistical and quantitative analyses
Reviewing, producing and updating model documentation for internal and regulatory purposes
Conducting benchmark and impact studies
Setting up and maintaining model related databases and processes

Quant / Modeling Analyst Resume Examples & Samples

One to three+ years’ experience in quantitative credit risk modeling, with experience with consumer lending preferred
Undergraduate degree economics, finance, mathematics, statistics or other quantitative field (Master’s preferred)
Advanced knowledge of statistics
Proficiency in the use of Microsoft Office with advanced experience in Excel and SQL
Critical thinkers with business intuition, intellectual curiosity, and ability to execute
Hands-on approach, with proven execution/process skills. Organized and focused on delivering results
Impeccable integrity, sound judgment, and strategic vision
Excellent communications skills – internally and externally, including with regulators
The ability to collaborate with stakeholders across all levels across of the organization
Ability to use advanced statistical and mathematical software to perform statistical estimation
Ability to create spreadsheets and write code to facilitate the analysis

Risk Modeling Analyst Resume Examples & Samples

Responsibility for providing modelling support for the various GE Capital Interbanca Leasing products
Development of new PD, LGD, FAS5, FAS114 and other credit risk models
Drafting model documentation to SR11-7 standards
Working with group model governance validation team to facilitate the independent validation process
Supporting the implementation and use credit risk models
Developing and running model monitoring reports
Collaborating with model managers to ensure model acceptance
Creating and presenting reports on model performance for senior management
Some experience in decision technology team including experience of implementing credit risk models
Must be able to effectively communicate complex information and recommendations to both technical and non-technical audiences
High level of PC literacy, including a knowledge of SAS, Matlab and Excel for complex data analysis
Proven track record of credit scoring project delivery with experience to handle multiple projects simultaneously
Knowledge of Financial products specifically in the leasing and consumer segment

Ihc-assistant VP-ppnr Modeling Analyst Resume Examples & Samples

Develop and enhance models (in partnership with LOBs and functional areas as applicable) to support stress testing and economic capital. Examples include the following
Bachelors or advanced Degree in accounting, finance or economics preferred
4 – 6 years of financial services industry experience (capital markets knowledge preferred)
Proven experience in developing stress testing / forecasting models for various financial scenarios that incorporate economic and market factors
Knowledge of capital markets and associated risk factors
Working knowledge of current regulatory landscape (i.e., CCAR, Basel)
Familiarity with modeling tools (e.g., SAS, MATLAB)
Experience producing quantitative models and complex formulas / macros to calculate and forecast financials over various economic scenarios
Ability to adhere to strict project and production deadlines, showing strong planning and organization skills
Proficient in Microsoft Office Suite (Word, Excel, Access, & PowerPoint)

Analytics Modeling Analyst Resume Examples & Samples

Compose responses to internal audit, validation, and outside government agency partners to explain statistical processes supporting AML functions
Work to thoroughly document statistical and algorithmic efforts supporting the corporate investigative groups to ensure that US Bank meets OCC CRAD expectations and Corporate Model Validation standards
Post-graduate degree in Mathematics/Statistics/Machine Learning or a similar
10 or more years of applicable experience
Strong interpersonal and written/verbal communication skills
Significant development experience using SQL and SAS
Experience supporting AML/BSA related initiatives in a large, complex, highly-regulated financial institution
Experience (over 2 years) developing, tuning, and optimizing statistical models in support of investigative efforts in a financial institution with specific emphasis on machine learning algorithms

SVP, Senior Risk Modeling Analyst Ccar Resume Examples & Samples

Utilize knowledge of risk assessment, risk monitoring and risk models and techniques to develop, test, document, and enhance loss forecasting, macro-economic forecasting and CCAR (stress testing) models
Provide operations support for generation of monthly and quarterly MIS reports and analyze potential risks and opportunities within loan portfolio
Prepare MIS reports for senior management and account for variances due to different data sources
Track model forecast vs. actual performance and analyze and identify key drivers of variance for model enhancement
Advanced degree in statistics, econometrics or related quantitative field
Ability to develop and perform analysis that addresses concerns and issues in a clear and concise manner
Team work, commitment, and good communication skills are required
5+ years of relevant consumer finance industry experience including model development

Predictive Modeling Analyst Resume Examples & Samples

Analysis as part of trade studies, analysis of alternatives, and comparison of designed system performance against requirements
Operation and update of models and simulations
Excellent analytical and problem solving skills; Experience using logic and reasoning to identify the strengths and weaknesses of alternative technical solutions or approaches to problems
Proven experience in on-site interaction with customers
Bachelor’s degree in engineering, computer science, mathematics, or similar technical discipline
Experience in at least one of the following disciplines: Operations Research, Collection Performance, Remote Sensing, Signals Analysis, Functional Availability, Product Quality, and communications & network analysis
Understanding of end-to-end satellite engineering

Predictive Modeling Analyst Resume Examples & Samples

Experience with SIGINT performance analysis and system testing
Bachelor’s degree in engineering (aerospace, mechanical, electrical, software), physics, mathematics, or similar technical discipline with 5+ years of domain experience
Understanding of digital signal processing
Knowledge of satellite technology
Knowledge of scripting languages and MATLAB
Knowledge of C++, JAVA, and object oriented programming

Predictive Modeling Analyst Resume Examples & Samples

Assist the Gov’t in a complex information technology systems effort, by developing analyses using existing data (or data that you must discover and acquire) to provide objective, informed considerations (e.g. requirements, thresholds, predictions)
Use SQL, SAS/R, Microsoft Excel and other tools (to include those that you would develop or modify) to conduct extensive and thorough statistical and correlation analyses of mission data and challenges throughout the entire intelligence analytic workflow
Update software and to models, (e.g. using C#/C/C++, SAS/R, Perl, and VBA programming) to holistically understand mission impacts of near and long term future enterprise capabilities spanning the entire tasking, collection, processing, exploitation and dissemination (TCPED) cycle for geospatial intelligence
Perform predictive analysis to determine future data trends and assess potential chokepoints and system performance issues while evaluating key performance indicators, using SQL, SAS/R, Perl and Excel
Lead technical exchange meetings, or participate as a subject-matter expert (SME) for multidisciplinary modeling, simulation and analysis efforts
BS/MS in Engineering, Mathematics, Computer Science, Information Systems or equivalent
2-5 years’ experience in statistical analysis
2-5 years’ experience in network or application performance analysis

Systems Modeling Analyst Resume Examples & Samples

Conduct research to develop autonomous vehicle systems and related operating strategies, including both the automation of the underlying vehicle platform itself and the functions that fill the role of the current human driver
Facilitate design of, specify, own, and manage the interfaces between the involved Ford element system (subsystem) teams
Model and produce: use cases, strategy concepts, control system designs, requirements, robustness, and verification work products
Coach and mentor less experienced systems modelers in performing the same on their respective projects to drive a consistent level of execution within the company
Develop executable and descriptive behavioral models & requirements at multiple levels, including functional decomposition and requirements and interface definition
Manage the cascade and negotiation of the above to/with responsible teams
Build and leverage physically and empirically based models/simulations to verify that proposed concepts and strategies meet the requirements
Lead the Quality-related activities at a systems level (FTA, FMEAs, P-diagrams, BDs, etc.)
Lead the Functional Safety engineering activities at a systems levels (item definition, HARA, Functional Safety Concept, etc…)
Perform DV tests on prototype vehicles and analyze & present the results / recommendations
Develop new or improve upon, model based system engineering related processes and tools to further our engineering efficiency and capability
Perform competitive analyses and maintain knowledge of emerging technologies in the automotive field
15+ years of experience in roles involving model-based systems engineering, requirements elicitation/definition/decomposition, systems integration, and verification & validation
5+ years’ experience in a model-based test & integration role
High School diploma or GED required
Experience using and/or building behavioral (analytical or descriptive) models of a system
Expertise in UML/SysML (including certification and/or equivalent experience) and related toolsets, including using such models for testing and test automation
Prior work in a software engineering / software development role
Prior project responsibilities in powertrain, body, electrical, chassis, or other vehicle domain projects
Prior experience in driver assistance (e.g. adaptive cruise control, etc…) or autonomous systems or features
Experience designing, building, programing, and experimenting with robots of various kinds
Hands-on testing and problem solving using simulation, HIL systems, & prototype vehicles
Working in large team environments & interfacing with highly technical points of contact for element systems (subsystems)
Self-motivated with the ability to manage multiple tasks and project unknowns/ambiguity
Experience with data acquisition tools (e.g. ATI Vision)
Experience with using requirements, PLM, and PLE toolsets such as Teamcenter, DOORS, etc
Experience in Ford Functional Safety / ISO 26262 / STPA or equivalent work products & methods
Experience with Matlab, Simulink, & Stateflow, or similar tools preferred
Bachelor’s degree OR equivalent experience in Electrical, Mechanical, Software, or Systems Engineering, Computer Science, or a Controls-related field
OCSMP Model-Builder certification a plus

Predictive Modeling Analyst Resume Examples & Samples

Use SQL, SAS/R, Microsoft Excel and other tools (to include those that you would develop or modify) to conduct predictive analysis, statistical and correlation analyses of mission data and challenges throughout the entire intelligence analytic workflow
Requires 1+ year of relevant experience
1+ year experience in statistical analysis and packages
Working Knowledge of Customer System, Domain and Interfaces
Detailed knowledge of analytic methods and workflows

AML Modeling Analyst Resume Examples & Samples

Master's degree is preferred
Strong database skills, including working with advanced data sets, pivot tables, statistical functions and methods
Strong analytical skills required to organize and analyze multiple complex data sets
Strong ability to identify potential concerns, analyze and solve problems
Strong interpersonal skills. Must communicate very well verbally and in written form. Must break down complex topics into simple to understand business terms
Effectively demonstrate ability to communicate with team members with variouos technical background, senior managemen and government requlators
AML System knowledge with the following is beneficial: SAS AML, Actimize KYC, Actimize Enterprise Case Management, Actimize CTR

Predictive Modeling Analyst Resume Examples & Samples

Determine customer analysis requirements while defining project scope and managing analytical product deliverable schedules
Develop analysis reports and briefings to present to varying levels of government customers
Lead the development of predictive analysis to determine future data trends and assess potential chokepoints and system performance issues while evaluating key performance indicators
Support systems engineering technical exchanges and meetings
Develop, execute, and assess mission-based capability models to enable the mission success impacts of future enterprise capabilities
Conduct extensive and thorough statistical and correlation analyses of mission-based characterization and performance within the NSG throughout the entire analytic workflow
Coordination of future acquisition and development activities
Perform Modeling & Simulation to determine mission impacts of near and long term future enterprise capabilities for providing geospatial information support
Analyze detailed system requirements and specifications for large, architectures
Bachelor’s degree in engineering (aerospace, mechanical, electrical, software), physics, mathematics, or similar technical discipline with 10+ years of domain experience
11+ years of systems analysis, systems integration or modeling and performance analysis experience
Able to interpret requirements, specifications and CONOPs documents
Experience in Communications Resource Allocation and Remote Sensing Collection Performance; Detailed understanding of end-to-end Satellite engineering
Strong systems analysis skills, with the ability to identify and accurately describe system issues
Excellent presentation and communication skills; Demonstrated ability to clearly explain technical issues to technical and non-technical audiences; Excellent oral presentation and writing skills
Project Management Skills
Experience in multi-Int analysis and demonstrations
Working Knowledge of Customer System, Domain and Interfaces (desired)

Modeling Analyst Resume Examples & Samples

Develop predictive models that will form the basis for information driven strategies in Credit Risk and Marketing
Perform optimization analysis and build supporting component predictions
Create customer segmentation schemes that will provide our analytic teams with insights into our customers
Monitor effectiveness of all statistical models and recommend appropriate course of action
Perform full cycle model design and development from target definition through to implementation and performance measurement
Work closely with subject matter experts to understand and interpret data
Deliver effective communications of key design elements and development results
University degree in a quantitative discipline, Mathematics or Statistics preferred
Demonstrated superior analytical, mathematical and problem solving skills
Good working knowledge of statistical techniques and predictive modeling
Programming experience, preferably with data extraction/mining tools (e.g. SAS and SQL)
Ability to accurately and consistently deal with granular and detailed data
Proven ability to translate business needs into statistically sound solutions
Capable of clearly communicating analytical results to business stakeholders
Demonstrated experience performing statistical analysis or building predictive models from large, complex data sets considered an asset
Previous experience in credit cards/unsecured lending, credit scoring or customer segmentation considered an asset
Familiarity with statistical modeling or data mining software considered an asset

Catastrophe Modeling Analyst Resume Examples & Samples

Bachelor’s degree or higher in mathematics, finance, economics or other related/quantitative field
0-2 years of Property & Casualty insurance experience with a primary carrier, reinsurer, and/or reinsurance intermediary
High level organizational and project management skills in order to handle multiple concurrent assignments
Intermediate computer proficiency in Microsoft Office

Modeling Analyst Resume Examples & Samples

Participate and lead in the development and regional execution of the global SAP metrics and business processes and strategy
Monitor / audit / and control SAP processes within the Region
Work together as part of the region leadership team to meet / exceed the Service business operating plan
SAP "problem solver" or "expert" and single point of contact for transferring SAP knowledge and new information to the Region
Develop and lead SAP training for region personnel
Assist / control in SAP rollouts
Assist Service Director and management in gathering and mining SAP data
Ensure operational excellence in the areas of integrity, controllership and compliance
Lead Six Sigma process improvements
5+ years of BN field experience
Knowledge in SAP Enterprise Resource Planning System
BB or MBB certification or equivalent
BSME or BSEE with minimum 5 years relevant work experience
Exceptionally strong customer service mindset
Ability to manage technical professionals in a dynamic and fast-paced environment
Strong verbal and written communications skills
Six Sigma GB certification or equivalent
Able to travel on short notice

AML Modeling Analyst Resume Examples & Samples

Three or more years of successful investment sales experience and the desire to work in a fast-paced, goal and commission based environment required
Series 7 before hire (S63 also if state requirement)
State Life and Health before hire
Series 65/66 within 120 days of hire
Ability to make professional sales presentations and be able to build credibility with Huntington's client base
Must have excellent written and verbal (face-to-face and phone) communication skills including interpersonal and influencing skills needed to interact with individuals at all economic levels
PC and internet proficiency

MYA ITO Modeling Analyst Resume Examples & Samples

Support the ITO, OTR, and Renegotiations teams in building specific customer strategies to help PS with a proactive effort to protect and grow our SA backlog
Interface directly with the ITO, OTR, Legal, Engineering, and Finance Teams as required during proposal development and contract negotiation
Develop work-scope, issue performance guarantees, and conduct deal financial analytics as required to support customer requirements
Engage in continuous improvement of Risk Mitigation Processes using Six Sigma and LEAN (e.g. error detection, process control, and process design strategies)

Senior Forecast Modeling Analyst Resume Examples & Samples

Enhance and Automate Creative Cloud’s rolling 3-year financial model for subscriptions and partner closely with business owners to support continual model improvements
Provide insights on forecasting methodology improvements for the Creative Cloud business
Own and automate the consolidation of top-line actuals and forecasts across all of Creative Cloud’s business segments
Provide business partner support for the Creative Cloud for Education business
Prepare complex scenario analyses to assist company leadership in strategic product and pricing decisions
Drive new analytical constructs for a fast growing subscription business
Work with key business leaders to identify appropriate metrics to track and evaluate business performance
Assist with ad-hoc analysis on various projects for senior leadership as required
BA/BS degree in Finance, Computer Science, Accounting, or Economics
3-5 years of relevant finance and or forecast modelling experience. Previous experience in creating/maintaining financial models for a subscription/SaaS business a plus
Expert skills in Excel business modeling
Experience working with large data sets (“Big Data”) and a solid understanding of relational database management
Strong working knowledge of SQL preferred; basic knowledge of VBA a plus
Self-starter who can take charge of complex tasks with minimal direction and develop new strategies and ways of approaching business challenges
Strong interpersonal and team building skills with ability to work with a diverse team and influence/drive change across functional boundaries
Strong project management, planning, and organizational skills, including ability to handle multiple projects at a time in a fast-paced environment
Quick learner who is not afraid to ask questions and participate in lively strategic discussions/debates
Critical thinker who can challenge the status quo

Analytics & Modeling Analyst Resume Examples & Samples

Creative & analytical exploration of Procurement Business Process Outsourcing (PBPO) business data in a semi-structured and iterative fashion
Statistical programming in tools like R/SAS/SPSS/STATISTICA
Responsible for development of ad hoc data analytics insights, along with longer term projects to build analytics capabilities within PBPO
Serve as a Subject Matter Expert on statistical analyses for the Reporting & Analytics organization by providing design input and direction into data visualization applications
Provide real-time data analyses to PBPO Delivery Best Practices lead to highlight and guide corrective actions & initiatives for business improvement
Architects, plans and drives data integration needs
Responsible for supporting the existing application set by diligently attending to questions and concerns raised by end users, including providing individual support and escalation of incidents as needed
Bachelor’s degree with a minimum of 2 years significant coursework in mathematics, data science, or statistical analysis
Minimum of 1 year of experience in data extraction, data manipulation, analytical analysis, & reporting
Minimum of 1 year of experience with statistical modeling or data mining within one or more of the following: R, SAS, Minitab, SPSS, JMP, or Mathlab
Advanced degree (MSc/MSE) in a technical field with significant coursework in statistical analysis
Experience with data management and data quality
Strong knowledge of RDBMS languages such as SQL
Minimum of 2 years SAS programming or R
Demonstrated ability to analyze, improve, and think critically about existing business processes to identify and communicate opportunities for improvement
Strong working knowledge of sourcing, category management and procurement operations
Proven ability to solve complex business problems using Data Visualization tools such as Qlikview
Experience collaborating across with multiple project teams effectively and planning/structuring analytical work
Ability to work independently with end users across the global organization
Ability to work creatively, analytically, & independently in a problem-solving environment
Strong communication skills and presence - ability to deliver succinct, structured and client relevant communications to peers and business leaders
Business acumen, as demonstrated by the ability to articulate business implications for any recommendations or proposed actions
Demonstrated teamwork and collaboration in professional setting; military, civilian, or academic
Ability & willingness to work creatively and analytically in a problem-solving environment

Actuarial Modeling Analyst Resume Examples & Samples

Streamline and automate the input data used in projections and valuation and financial reporting processes. Work to streamline and automate the data output into efficient reporting tools
Continued work toward achieving FSA designation through company supported Actuarial Student program
Demonstrated path toward earning SOA designations; minimum 2 – 3 SOA exams passed preferred
Professional Actuarial experience, including data analysis or modeling background gained through internships and/or college-level project work
Advanced Microsoft Excel skills necessary, as well as competency with other MS Office applications; knowledge of actuarial financial projection software a plus
Able to manage and analyze large data sets using tools such as MS Access, SQL Server or SAS preferred

Senior Statistical Modeling Analyst Resume Examples & Samples

Researching growing market trends and mining the Citizens data intelligence to develop new insights that can guide the strategic direction of the Citizens Bank lines of business
Analyzing current programs and developing models/strategies that can lead to a more optimal allocation of business resources, for example marketing budgets
Engineering technology solutions to deliver production-quality data intelligence across a wide range of business applications
Documenting and communicating technical/analytic results for a non-technical audience
6+ years of experience in Analytics/Database marketing
Preferably some experience in Financial Services, in particular Consumer Banking (loans, deposits, small business banking, etc.)
6+ years of experience in SAS programming
Ability to work in a team environment and collaborate with colleagues who have a background in statistics, database development/maintenance, and information technology
Ability to successfully communicate analytic results, business insights, and resulting business implications to non-technical business partners
Ability to work independently with minimal supervision to deliver technical initiatives and projects through to completion, including formal and informal technical direction of other intra-team and inter-team project contributors
Ability to coordinate and successfully interact with multi-disciplinary technical and non-technical project teams, successfully interfacing between strategic business objectives and logistical technology requirements
Strong direct hands-on programming skills and ability to utilize a variety of data/analytic software languages/tools (e.g., SQL, SAS, R, Splus, etc.)
Deep knowledge of a variety of statistical concepts and procedures such as: generalized linear models, machine learning algorithms, experimental design, stochastic processes, Markov process modeling, response surface methodology, and statistical graphics

Business Modeling Analyst Resume Examples & Samples

Develops and leverages modeling and analytics capability, working with the supply chain leadership team and key business partners and stakeholders to improve results around safety, service and savings, contributing to the 2020 goals and 2017 objectives
Develops modeling as a key capability, with a set of tools that help to solve complex or persistent business challenges that that gains can be sustained
Influence senior business and supply chain leaders and work collaboratively across divisions and functions to drive data-based solutions to complex problems using the language of the business
Bachelor’s Degree in Chemistry, Biology, Engineering, or Operations / Supply Chain Management
15+ years experience working in a manufacturing or supply chain environment
Immigration sponsorship not available for this role
Advanced degree in science, engineering or MBA
LSS Certification with completed Green Belt or Black Belt projects
Experience in modeling for cost reduction, continuous improvement, vendor management, or planning; some systems knowledge preferred (Ecolab Systems preferred)
1-2 years of experience in cross functional project or program management in a manufacturing or supply chain environment
Analytical skills & ability to develop creative solutions to problems; strong PC skills e.g. highly proficient with MS Access and Excel
Strong communications & leadership skills needed to influence & lead others & to promote change; ability to present to groups

Analytics & Modeling Analyst Resume Examples & Samples

Highly motivated, team player, thrives on challenge and delivering exceptional results
BA+ degree with a quantitative focus (mathematics, statistics, computer science, engineering)
1-3 years experience in in a procurement, logistics, materials management or supply chain manufacturing / consulting environment
Proficiency in Microsoft Excel, Access and SQL preferred
Excellent communication skills - written and verbal in both English and Mandarin including formal presentation skills; CET 6 is a must, understand Japanese is preferred
Experience specific to market data analysis, financial analysis, forecasting techniques, and competitive analysis is a plus
3+ years experience in in a procurement, logistics, materials management or supply chain manufacturing / consulting environment
Excellent communication skills - written and verbal in both English and Mandarin including formal presentation skills; CET 6 is a must

Cost Modeling Analyst VIE Resume Examples & Samples

Capitalise and provide an expertise to develop internal cost models
Business School or Engineering background with a Finance degree
Minimum 1 year experience in engineering, operations and manufacturing
Ability to manage uncertainty and resist to stakeholder pressure
Demonstrated strong communication skills and autonomy
Good negotiation skills and arbitration abilities
Ability to challenge status quo and implement effective changes to improve controlling performance

Modeling Analyst Resume Examples & Samples

Support development and implementation of long term modeling strategy including
3-5 years insurance industry experience preferably related to modeling and financial projections
Experience with actuarial modeling software such as MG-ALFA or Prophet
Knowledge of insurance products
Technical skills such as programming languages and Excel

AVP Lead Risk Modeling Analyst Resume Examples & Samples

Communication - Good communication skills with the ability to think quickly and package ideas and results in a logical, understandable way for both technical and non-technical audiences
Experience in the area of regulatory modelling is a plus
A good understanding of the Group’s Model Risk Policy
Strong SAS programming skills

Ccar & Non-score Modeling Analyst Resume Examples & Samples

Strong analytical skill and critical thinking
Fluent communication both in English and Bahasa Indonesia, both verbal and in writing
Risk management background is preferable
SAS programming skill and/or familiarity with SPSS Clementine will be a benefit but not a pre-requisite
Sensitivity to deadlines

Digital MYA ITO Modeling Analyst Resume Examples & Samples

Serve as the ‘go-to’ modeling expert for the OTR and Commercial Renegotiation teams (iCAM modeling, scenario analysis, etc.)
Attend and support customer negotiations when required
Maintain and improve risk modeling capabilities for Gas Turbine, Steam Turbine, and Generator product lines
Support implementation and growth of the Policy 6.0 to Policy 5.0 Feedback Process

Predictive Modeling Analyst Resume Examples & Samples

Lead team of analysts and SW developers in operation and upgrade of simulator
Coordinate with customers to define assumptions, inputs and data needs
Experience with modsim, performance analysis and system testing
Strong knowledge of SIGINT systems, end to end

Modeling Analyst Resume Examples & Samples

Support the “Data Scientist” vision of the group by participating in planning and development of analytic projects in response to business needs of functional areas. The areas include Operations functions of Underwriting, HOA, Loss Management as well as cross functional and international support
Perform business intelligence reporting tasks with the focus on diagnosing risks and opportunities in business functional areas. Report value stream to define functional metrics for “what matters” and resulting business improvement/actions
Develop and perform preliminary exploratory analysis on datasets associated with building advanced statistical models. Ability to work with structured and unstructured data
Support the team members in determining requirements, evaluate analytical approaches and create predictive models to optimize decision making for functional areas of support
Communicate and document business intelligence tasks, statistical analyses and methods in a logical and understandable manner for non-analytical business users and executive decision makers
Ensure accuracy of results and analytic methods. Perform regular validation and collaborations of the BI metrics and analytical models
Collaborate with peer analysts to ensure the use of models for optimized decision making
Work with IT and Data Reporting team on the evaluation of data management
Fulfill ad-hoc requests in a timely and efficient manner
Bachelor Degree in Business, Finance or related discipline
5+ years’ business analytics and support of business functions or equivalent educational experience
Experience with BI metrics and reporting for optimization (Tableau preferred)
Experience with logistic regression, time series, forecasting, optimization, and other predictive modeling techniques
Hands-on experience working with SAS (base SAS, EG, BI) as well as SAS statistical package
Ability to translate business needs into technical requirements
Superior analytical, mathematical, and problem solving skills
Ability to influence decision makers and drive consensus
Strong communication (i.e. oral, written, interpersonal and presentation) skills
Master’s Degree in quantitative discipline
Familiar with Mortgage Industry

Risk Modeling Analyst Resume Examples & Samples

Working with departmental as well as bank-wide data sources to access information for analysis, data mining and predictive modeling
Completing exploratory analysis on large volumes of structured and unstructured data
Developing a variety of supervised and unsupervised machine learning models such as Neural Networks, Decision Forests, Support Vector Machines and Bayesian methods
Developing and testing for the predictive models to measure their effectiveness
Presenting results to stakeholders, including the application of model to address business challenges
Identifying and implementing real data-driven improvements
Staying current with machine learning technique and application to advance CIBC’s analytic capabilities

Risk Modeling Analyst Resume Examples & Samples

Using consultative selling techniques, advises clients on mortgage loan options and other financial products
Advises customers on the completion of loan applications
NMLS license
Knowledge of mortgage loan products (conventional, FHA/VA, construction lending and portfolio programs)
Knowledge of mortgage procedures, documentation, and underwriting guidelines

Modeling Analyst Resume Examples & Samples

Bachelor’s degree in Applied Mathematics, Decision Sciences, Statistics, Computer Science, Finance, Economics or related field
Advanced quantitative and qualitative problem-solving skills
1-3 years previous work experience in an analytical or programming role is desired

Experienced Product Modeling Analyst Resume Examples & Samples

Build complex models to segment customers by risk profile
Understand and more accurately predict customer behavior
Develop tools to identify potential underwriting fraud
Evaluate new sources of data for use in modeling insurance risk
Must possess 1-3 years of work experience in an analytical or programming role
At least a 3.0 overall GPA
Demonstrated experience performing statistical analysis on large, complex datasets
Detail-oriented and able to work under deadlines
Master’s or other advanced degree is desired

Lead-product Modeling Analyst Resume Examples & Samples

Train and validate complex statistical models on large data sets
Develop and improve models for risk assessment and policyholder behavior
Develop and evaluate alternative product designs
Automate, validate, and optimize computational performance of analytical tools to support business decisions
Interpret and present results of models to all levels of management
Handle supervisory responsibilities, including performance reviews, motivation, talent development, and job application evaluation
Train others on statistical modeling techniques and methods
Bachelor’s degree or higher in Statistics, Mathematics, Predictive Analytics, Data Science, Economics, Operations Research, or related field
5 years’ experience in related field, or 2 years’ experience with Master’s degree
Supervisory experience with a track record of successful leadership results
Demonstrated ability in statistical analyses, particularly in economic or financial contexts
Experience with insurance pricing and underwriting models preferred
Familiarity with generalized linear models; regularized regression and/or hierarchical models; decision trees and tree-based ensemble methods; and unsupervised learning techniques
Strong skills in R, SAS, or other statistical modeling language; experience with SQL and/or general-purpose programming languages encouraged

Catastrophe Modeling Analyst Resume Examples & Samples

Providing insurance account data entry, enhancement, coding and modeling support to underwriting and regional catastrophe teams globally
Processing submission data files within stipulated time frames by entering them into account modeling systems, translating and coding to model recognizable format(s), and assessing and correcting location addresses and geocoding using Google
Perform desktop reviews
Geo Code verification & Google Earth aerial imagery
Location Determination (grouping of site assets)
Valuation Check (Insurance to Value determination)
EQ Zone determination/verification
Wind Zone determination/verification
Flood Zone determination/verification
Flood Loss Estimates for exposed locations using proprietary tools
Modeling accounts to estimate catastrophe losses from all perils using multiple catastrophe models
Providing catastrophe modeling results to support the pricing and underwriting process
Modeling one or more different policy structures per account, and multiple options as requested by the underwriter
Documenting assumptions and updating data and model dictionaries
Individual with a bachelor degree in engineering, preferably within one of the following disciplines (Chemical, Electrical, Civil or Mechanical), who is proficient with MS Office and internet based research
Prior experience in insurance data management and account modeling will be a big plus but is not required
Knowledge of insurance is desirable, but not essential
Must demonstrate oral and written communication skills along with analytical and logical thinking skills
Candidate must be organized, self motivated and willing to learn more about the basics of commercial and/or energy insurance, underwriting processes, insurance coverage terms and conditions, and catastrophe modeling for underwriting

Quant / Modeling Analyst Resume Examples & Samples

One or more years’ experience in quantitative credit risk modeling or model performance monitoring
Ph.D. or Master’s degree in economics, finance, mathematics, statistics or other quantitative field
Advanced knowledge of statistics/econometrics
Working knowledge of SAS or other advanced statistical/econometric analysis software (e.g. R, Python)
Critical thinker with business intuition, intellectual curiosity, and ability to execute
Results driven with the ability to work independently or in a team environment
Demonstrated ability to effectively communicate (verbally and written) analytical results to a diverse audience
Ability to use advanced statistical and mathematical software to perform statistical estimation on financial data
Financial modeling in mathematical/symbolic terms
Ability to analyze complex financial instruments, create spreadsheets and write code to facilitate the analysis
The ability to understand generally accepted accounting principles

Modeling Analyst Resume Examples & Samples

Develop mathematical programming tools to support short, medium and long term optimization of supply chain operations
Help the planning and logistics teams in making fullest use of these tools
Develop custom models to analyze specific strategic questions faced by the business and assist the business in applying these tools to quantify economic consequences of different options
Develop tools that present meaningful results in a concise fashion, and in a manner accessible to a variety of audiences
Work with key stakeholders and connect with cross functional groups to foster good relationships to drive continuous improvements in our tools and processes
Bachelor’s degree in Engineering, Computer science, Mathematics, Physics or similar quantitative field and previous experience modeling and optimizing supply chain planning and logistics operations or similar work
Experience with AIMMS, GAMS, AMPL, OPL or similar algebraic modeling environments for generating and solving mathematical programs, especially Mixed Integer Linear Programs (MIP) using commercial solvers such as CPLEX, Gurobi, or similar
Familiarity with one or more numerical computing environments (e.g., MatLab, R, Julia, SciLab, NumPy, etc.)
Familiarity with one or more programming languages (e.g., Java, C#, C++, python, etc.)
Ability to effectively influence others at all levels of the organization to adopt improved tools and techniques, sometimes without direct authority
Excellent communications skills both verbal and written, including executive level presentations
Experience with one or more of SAP/APO; LLamasoft Supply Chain Guru , LogicNet plus; JDA Supply Chain Strategist; or similar systems for supply chain optimization

Predictive Modeling Analyst Resume Examples & Samples

Develop and maintain predictive models using data mining and SPSS statistical tools
Validate that data sources meet requirements of the effort and outcomes
Analyze data quality identifying improvements and solutions for data gaps
Develop a deep understanding and working knowledge of all Ascensus data sources purpose, structure and definitions
Regularly use complex data and algorithms
Effectively execute CRISP-DM methodology with project teams optimizing predictive model lift
Perform complex data analyses, segmentation and profiling of expansive data sources
Apply business and predictive modeling expertise to identify underlying trends
Work closely with subject matter experts to translate manual data analysis into automated analytics, resulting in faster more meaningful data extraction for users
Establish model schedules or invoke real time through workflow and other application integration
Maintain and enhance predictive models. Identify and recommend improvements
Prepare and deliver presentations detailing results of analytics
Provide analytics and model recommendation insight
Adhere to and recommend improvements to data governance
Advanced analytics: the ability to apply appropriate analytical techniques and translate findings into actionable business insights and recommendations
Database technologies: understanding of data warehousing concepts, with the ability to write complex SQL statements to store, retrieve, manipulate, integrate, validate, and summarize data
Strong communications skills: both verbal and written, with the ability to explain complex concepts to non-technical audiences
A team orientation: strong interpersonal and collaboration skills, with the ability to network with internal business partners across the organization
Bachelor’s degree in a quantitative or technical field, such as computer science, mathematics, engineering, or economics
Solid business acumen with the ability to quickly learn about Ascensus products, services, clients and business considerations. Ability to obtain valuable information and insight through dialog with SMEs
Time Management/Prioritization – Ability to manage time with conflicting priorities to ensure all deliverables are met. Responsibility to manage own tasks
Initiative/Work Ethic – Drives efforts to completion setting and managing personal goals. Proactively seeks out opportunities to ensure successful outcomes
3 years of experience at Ascensus, a like business or in data analytics

Statistical Modeling Analyst Resume Examples & Samples

Minimum 1 year of experience in SAS HPF code development and/or R modeling
Must be able to analyze data to determine business implications and make actionable recommendations
Ability to communicate effectively through oral presentations and written reports

AML Analytics Modeling Analyst Resume Examples & Samples

Serve as a developer responsible for the monitoring and optimization of AML/OFAC statistical scenarios and models in support of financial investigative efforts
Work to thoroughly document statistical and algorithmic efforts supporting the corporate investigative groups to ensure that US Bank meets regulatory OCC CRAD expectations and Corporate Model Validation standards
Work to implement new processes or techniques and/or optimize programs to be as efficient as possible while effectively mitigating risk
Professional presentation skills for audiences including but not limited to senior leadership, CAS, regulatory and business partners
Ability to work independently given direction from leadership or senior analysts
Graduate degree in Mathematics/Statistics/Machine Learning or a similar
Ten or more years of experience in an applicable risk management environment
Applicable certifications
Ability to handle multiple priorities and deadlines effectively and efficiently

ALM Modeling Analyst Resume Examples & Samples

Own, manage and develop processes associated with periodic Stress Testing (CCAR and DFAST)
Contribute to the increased usage of Stress Test processes (increased frequency and usage by the Bank)
Own, manage and develop regular monthly Interest Rate Risk (IRR) processes associated with Economic Value of Equity (EVE) and Earnings at Risk (EAR)
Implement models and analytical tools used with IRR and other ALM processes
Develop a deep understanding of the Bank's balance sheet, individual product profiles and associated risks
Work with management to craft strategies in the mitigation of Interest Rate Risk and other risk
Demonstrate outstanding quantitative, communication and presentation skills
Bachelor’s or Master’s degree in Financial Engineering, Finance, Economics, Accounting, Mathematics or related discipline
1-3 year’s work experience in a financial analysis / modeling capacity is highly preferred
Knowledge and understanding of a bank’s balance sheet and individual financial instruments and regulatory requirements
CFA / FRM a plus
Knowledge of MS Office Suite (emphasis on Excel, Word, PowerPoint and Visio) required
Experience with Financial Database Systems. Hyperion and SQL preferred
QRM Enterprise Risk Framework experience desired

Analytics & Modeling Analyst Resume Examples & Samples

Be able to build strong relationship with key contacts
Expand knowledge and understanding of the supported entity to be able to offer a view on issue resolution and potential next steps
Be proactive in analysis and play a bigger role in shaping discussions and bringing observations to the customer team
Responsible for Ad hoc analysis of all HR-HR metrics for aligned/other entities
Interact/ coordinate with RAID’s Data & Analytics team and other RAID teams with requests that exceed the team’s scope
Understand organizational hierarchy
Share best practices on methodologies, trends and modeling with team members working across customer entities
Facilitate team work
Expert in Excel and Powerpoint
Expert in HR Reporting tools

Predictive Modeling Analyst Resume Examples & Samples

Bachelor’s degree in a quantitative or technical field, such as computer science, mathematics, engineering, or business
Advanced degree (MS, MBA), with emphasis on quantitative analysis (e.g., statistics, operations research, data mining, artificial intelligence, machine learning) preferred
Experience with big data and mining of unstructured data sources
Knowledge of 3rd-party data providers (e.g., Experian, Acxiom), publicly available data sources,
Analytics work experience in one of Retirement, Annuity, Insurance, Employee Benefits, Investment Management businesses
Solid business acumen with the ability to quickly learn about Voya's core businesses (Retirement, Annuity, Insurance, Employee Benefits, Investment Management)
Our ideal candidate will have a blend of data analytics skills, financial services business knowledge, and a passion for analytical problem solving

Modeling Analyst Resume Examples & Samples

Bachelor's degree in Statistics, Economics, Engineering, Mathematics, Actuarial Sciences or related field OR
A Master’s Degree in Statistics, Economics, Engineering, Mathematics, Actuarial Sciences or related field OR
A PhD in Statistics, Economics, Engineering, Mathematics, Actuarial Sciences or related field
4+ years related work experience in statistical analysis and model development. Or
If a Master's Degree, 2+ years related experience in statistical model development Or
If a Ph.D., 1+ years related experience in statistical model development
Advanced knowledge of data analysis tools and industry data sources
Advanced knowledge in developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software
Advanced knowledge in 2 or more statistical techniques (Generalized linear modeling, Time Series, CART, Decision Trees, Neural Networks, Factor analysis experimental design and hypothesis testing)
Experience developing and implementing machine learning algorithms
Experience developing simulation models (Anylogic)
Experience working within an Agile team environment
Graduate degree in a quantitative field

Portfolio Modeling Analyst Resume Examples & Samples

Bachelor’s Degree in a related field required. Progress toward a professional designation graduate degree, CFA, or ASA preferred
2-4 years of directly-related portfolio modeling experience required
Working knowledge of investment theory and terminology and financial accounting concepts
Must have the ability to develop complex models and analysis involving interrelated variables. Tasks performed have a longer term impact on the business, i.e. quantifying the impact of credit quality upgrades or downgrades on future reserve levels
Solid understanding of MS Suite, with basic working knowledge of Macros (e.g. Visual Basic); relational databases (e.g. MS Access); actuarial models (e.g. GGY AXIS)
Strong interpersonal and communication skills, demonstrated ability to work in a team environment and independently when necessary
Maintaining high quality work while meeting tight deadlines and handling ongoing pressure to deliver
Managing changing priorities and simultaneous projects - time management challenges
Ability to recognize and escalate potential issues
Handling feedback on the scrutiny of data by Senior Management and clients, frequently called upon to explain the origins of the models

Resource Modeling Analyst Resume Examples & Samples

Performs geospatial analysis using ArcGIS software and other industry-standard tools to identify turbine locations with maximum energy output and minimal impact to local land use
Applies technical knowledge in support of new product development
Provides site intelligence and field services, including construction screening, on-site instrumentation audits and shading analyses
Experience: 3+ years
Master’s - Engineering

Senior Resource Modeling Analyst Resume Examples & Samples

Reviews on-site meteorological data from various sensing devices
Sets up, monitors and analyzes numerical weather models (both meso- and micro-scale) to accurately understand the long-term energy resource across a given area
Sets up and executes in-house software and prediction tools to translate the long-term resource into energy production for a wide variety of equipment configurations
Performs geospatial analysis using ArcGIS software and other industry-standard tools to identify locations with maximum energy output and minimal impact to local land use
Collects and filters operational data
Reviews electrical and structural drawings of commercial and/or utility scale wind and/or solar farms
Provides investment due diligence and financing support
Prepares written reports and presentations for both internal and external customers
Travels to project sites to collect data, assists in permitting and community outreach, and participates in industry conferences; travel expectancy is between 5% and 25% of time

Quality Modeling Analyst Resume Examples & Samples

Development and maintenance of data formats and sources
Attribute coding
Score calculations
Data filter rules
File transmission requirements
Technical documentation
Bachelor’s degree in Mathematics, Statistics, Computer Science, or related fields
At least 5 years data analytics, modeling development/validation or related experience
High degree of experience with analytical tools/programming languages such as SAS, SQL, R, ECL, and/or MS office products-
Familiarity with the credit or insurance industry strongly preferred
Strong team player, constructive and considerate of others’ inputs with the ability to positively influence others, diplomatic skills, confident speaker even in difficult situations

Download Modeling Analyst Resume Sample as Image file

Related Job Titles

Supervisory Analyst Resume Sample

AML Analyst Resume Sample

Dev Analyst Resume Sample

Treasury Solutions Analyst Resume Sample

Digital Analyst Resume Sample

Report Analyst Resume Sample

Ediscovery Analyst Resume Sample

Collections Analyst Resume Sample

Demand Analyst Resume Sample

Industry Analyst Resume Sample

Banking Analyst Resume Sample

Analyst SME Resume Sample

Browse More

Modeling Analyst Resume Samples

The Guide To Resume Tailoring

Craft your perfect resume by picking job responsibilities written by professional recruiters

Pick from the thousands of curated job responsibilities used by the leading companies

Tailor your resume & cover letter with wording that best fits for each job you apply

Resume Builder

Resume Builder

15 Modeling Analyst resume templates

Read our complete resume writing guides

How to Tailor Your Resume

How to Make a Resume

How to Mention Achievements

Work Experience in Resume

50+ Skills to Put on a Resume

How and Why Put Hobbies

Top 22 Fonts for Your Resume

50 Best Resume Tips

200+ Action Words to Use

Internship Resume

Killer Resume Summary

Write a Resume Objective

What to Put on a Resume

How Long Should a Resume Be

The Best Resume Format

How to List Education

CV vs. Resume: The Difference

Include Contact Information

Resume Format PDF vs Word

How to Write a Student Resume

Ppnr Modeling Analyst Resume Examples & Samples

Senior Modeling Analyst Resume Examples & Samples

Scoring, Analytics & Modeling Analyst Resume Examples & Samples

Plcc-lead Risk Modeling Analyst Resume Examples & Samples

Business Modeling Analyst Lead-igrafx Resume Examples & Samples

Operational Risk Modeling Analyst Resume Examples & Samples

Lead Modeling Analyst Resume Examples & Samples

Lead Modeling Analyst Resume Examples & Samples

Senior Modeling Analyst Resume Examples & Samples

Modeling Analyst Resume Examples & Samples

Modeling Analyst Resume Examples & Samples

Modeling Analyst Resume Examples & Samples

Modeling Analyst Resume Examples & Samples

Modeling Analyst Resume Examples & Samples

Risk Modeling Analyst Resume Examples & Samples

Senior Modeling Analyst Resume Examples & Samples

Modeling Analyst, Channel Development Resume Examples & Samples

Modeling Analyst Resume Examples & Samples

Launch & Pipeline Modeling Analyst Resume Examples & Samples

Quant / Modeling Analyst Resume Examples & Samples

Catastrophe Modeling Analyst Resume Examples & Samples

Quant / Modeling Analyst Resume Examples & Samples

Senior Catastrophe Modeling Analyst Resume Examples & Samples

Quant / Modeling Analyst Resume Examples & Samples

Quant / Modeling Analyst Resume Examples & Samples

Modeling Analyst Resume Examples & Samples

Actuarial Modeling Analyst Resume Examples & Samples

Catastrophe Modeling Analyst Resume Examples & Samples

Senior Modeling Analyst Resume Examples & Samples

Quality Modeling Analyst Resume Examples & Samples

Modeling Analyst Resume Examples & Samples

Senior Modeling Analyst Resume Examples & Samples

Country Risk Modeling Analyst Resume Examples & Samples

Quant / Modeling Analyst Resume Examples & Samples

Risk Modeling Analyst Resume Examples & Samples

Ihc-assistant VP-ppnr Modeling Analyst Resume Examples & Samples

Analytics Modeling Analyst Resume Examples & Samples

SVP, Senior Risk Modeling Analyst Ccar Resume Examples & Samples

Predictive Modeling Analyst Resume Examples & Samples

Predictive Modeling Analyst Resume Examples & Samples

Predictive Modeling Analyst Resume Examples & Samples

Systems Modeling Analyst Resume Examples & Samples

Predictive Modeling Analyst Resume Examples & Samples

AML Modeling Analyst Resume Examples & Samples

Predictive Modeling Analyst Resume Examples & Samples

Modeling Analyst Resume Examples & Samples

Catastrophe Modeling Analyst Resume Examples & Samples

Modeling Analyst Resume Examples & Samples

AML Modeling Analyst Resume Examples & Samples

MYA ITO Modeling Analyst Resume Examples & Samples

Senior Forecast Modeling Analyst Resume Examples & Samples

How to Make
a Resume

50 Best
Resume Tips

200+ Action
Words to Use

Internship
Resume