Risk Modeler Job Description
Risk Modeler Duties & Responsibilities
To write an effective risk modeler job description, begin by listing detailed duties, responsibilities and expectations. We have included risk modeler job description templates that you can modify and use.
Sample responsibilities for this position include:
Risk Modeler Qualifications
Qualifications for a job description may include education, certification, and experience.
Education for Risk Modeler
Typically a job would require a certain level of education.
Employers hiring for the risk modeler job most commonly would prefer for their future employee to have a relevant degree such as Master's and Bachelor's Degree in Statistics, Mathematics, Economics, Finance, Engineering, Physics, Technical, Education, MBA, Business
Skills for Risk Modeler
Desired skills for risk modeler include:
Desired experience for risk modeler includes:
Risk Modeler Examples
Risk Modeler Job Description
- Developing new risk models to help the Bank to improve risk management and to satisfy regulatory requirements
- Work with a team of decision science professionals to develop best-in-class core risk and profitability models and decision support tools for all aspects of credit risk decision points across life-cycle of mortgage customers
- Build up expert database knowledge in card service across the customer credit risk management cycle, manage big data across multiple platforms, and design, implement and maintain analytical datasets/table repositories
- Provide professional database expertise and comprehensive data support to Core Modeling group including extracting data from databases to address modeling requirements, executing modeling scoring for business analytics
- Drive innovation in leveraging mainstream and state-of-the-art data architectures (Cloud, Hadoop, Teradata, Oracle, Unix server, ) to enhance big data management, and design, develop and implement solutions related to reporting and ad hoc analysis by closely partnering with technology team and business lines
- Develop or apply mathematical or statistical theory and methods to collect, organize, interpret, and summarize numerical data to discover useful information
- Feature engineering and feature selection for traditional GLM models and machine learning models
- Support the Bank’s efforts on Credit Policy and Risk Appetite, including verifying the integrity of the underlying data and rationale, monitoring and validation of the underlying theories and methodologies
- Participate in the development, execution, management and implementation of complex analytical modleing projects
- Design and Develop Fixed Income Factor Models and Fixed Income Portfolio Analytics
- Experience in model risk identification and remediation, model governance and compliance
- Ability to write algorithms to detect financial crime activity patterns such as large number theory, elliptical curves is required
- Minimum 5 years of experience in financial crime modeling
- Inquisitive / persistent / tenacious / thorough
- 5+ years hand-on statistical risk modeling experience of building application and behavior models, at least 3-year in financial industry with demonstrated proficiency in each step of scorecard development
- Minimum 5 years of experience in social network modeling
Risk Modeler Job Description
- Validation of economic capital required for the management of the own funds adequacy (Basel 3 requirements – Pillar 2)
- Validation of general and specific provisions according to IFRS9 standard
- Monitoring of internal models performance through at least exercices as the annual Backtesting and Benchmarking
- Communicating with the key stakeholders across the institutions
- Being able to rebuild the model offline or to recompute figures for the purpose of validation outputs
- Documenting the assessment to the required standards (technical model documentation)
- Contributing to regulatory and internal projects, especially in the context of regulatory change or implementation
- Participating to regulatory reporting process
- Helping developing new models in all risk areas
- Advanced degree in a field that provides a strong training in statistical and econometrics methods such as Statistics or Economics
- In-depth knowledge of and highly developed skills in statistical modeling and scorecards development (including decision tree, regression, time series and survival analysis), advanced econometric methods, and innovative data analysis
- Knowledge of database and mainstream programs (Access/Excel) and some programming skills (VBA, C++, ) is an advantage
- Candidates should possess at least 5 years of relevant work experience with a financial, investment, or consulting firm
- Experience in data and process modeling
- Experience in structured requirements definition
Risk Modeler Job Description
- Work on interesting and challenging financial client’s engagements
- Utilize predictive models and regression analysis to deliver financial analysis
- Using your specific credit risk modeling expertise and deliver reports to clients
- Identify and communicate your analysis and results to clients and sr
- Prepare formal reports and working papers
- Advanced / Master’s degree in finance, mathematics, econometrics, engineering or other quantitative subject
- 5+ years of experience in developing stochastic and econometric models within financial institutions or 8+ years of experience in developing models in other industry
- Must have a PhD in Economics, Statistics, Finance or closely related degree
- Advanced data analysis techniques, including use of discrete variable models
- Use of discrete variable models to quantify the effect of macroeconomic policy and regulation on economic outcomes
- Development of a variety of linear and non-linear econometric models, including LOGIT/PROBIT and Bayesian
- Running and maintaining all tactical tools (in MS Access and MS Excel) for exposure measurement used globally
Risk Modeler Job Description
- Oversee the production of Interest Rate Risk measures and reports
- Oversee the collection of data that feeds the banks risk and income forecasting models
- Oversee the banks risk controls including risk limits, interest rate risk models, gap analysis and income simulation models
- Provide subject matter expertise for the banks derivatives transactions related to both portfolio hedging and bank funding
- Reviewing the bank’s regulatory compliance for interest rates including pricing, duration, convexity, portfolio construction, model validation and IRR reporting
- Experience in preparing comprehensive CCAR documentation, in accordance with applicable Dodd-Frank standards such as methodology descriptions including the technical details of the related underlying statistical methods
- Master’s/Advanced Degree in Statistics, Economics, Math, Industrial Engineering or Operations Research
- 8 + years hands-on experience developing predictive models with 5+ years’ experience leading large modeling projects
- Strong proficiency in data exploration, data mining, data transformation, statistical estimation algorithms, and model design
- Prior hands-on experience developing loan-level behavioral models on large data strongly preferred
- Development and prototyping of Back Testing methodologies
- Supports submission to Model Validation and Management team, Federal Reserve and the OCC
Risk Modeler Job Description
- Works with management and Committees to help direct future lending activities to mitigate future loan losses
- Supports policy / practice in the areas of measuring/quantifying risk exposure
- Identifies current or future issues with data integrity, is a stakeholder and participant in overall Data Governance for retail loan data
- Should be able to write documentation with a high degree of English proficiency, and be able to write the banks approaches to stress testing in a scholarly fashion
- Knowledge and training in macroeconomics (a plus, but not required)
- Must have experience working on advanced regression techniques and time series analysis
- Ability to express abstract concepts in simple terms, understandable by various levels of management
- Advanced degree (PhD preferred) in a quantitative field such as Engineering, Mathematics or Physics
- Represents the department at higher level stakeholder/management meetings
- Communicates issues to the business line and Risk and makes recommendations as appropriate
- Develops productive working relationships with others in Risk Management, Finance, Business Line, TDBFG Risk, and external groups
- Provides accurate reports or identifying issues that could impact decisions