Quantitative Modeling Job Description
Quantitative Modeling Duties & Responsibilities
To write an effective quantitative modeling job description, begin by listing detailed duties, responsibilities and expectations. We have included quantitative modeling job description templates that you can modify and use.
Sample responsibilities for this position include:
Quantitative Modeling Qualifications
Qualifications for a job description may include education, certification, and experience.
Education for Quantitative Modeling
Typically a job would require a certain level of education.
Employers hiring for the quantitative modeling 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, Quantitative Finance, Physics, Computer Science, Math, Technical
Skills for Quantitative Modeling
Desired skills for quantitative modeling include:
Desired experience for quantitative modeling includes:
Quantitative Modeling Examples
Quantitative Modeling Job Description
- Develop CECL compliant loss forecasting models including probability of default (PD), exposure at default (EAD), loss given default (LGD) and risk rating migration
- Maintain and enhance existing interest rate, inflation, FX, synthetic credit and equity derivatives models
- Leading and performing the end-to-end process of analytic development (data acquisition, cleansing, data mining, tests, model training, performance assessment) of new models, as defined in the analytic and product innovation roadmaps
- Establishing rigorous validation and/or re-training processes for existing analytic models, as needed
- Ensuring technical/supporting documentation is prepared, maintained and updated as needed
- Working with product innovation and development teams on growth strategies related to our analytical capabilities
- End-to-end analytic model development (data gathering, cleansing, model training, etc)
- Production of collateral material to support Product Management team and go-to-market activities (White papers, blogs, etc)
- Analytic support on technical questions by current clients and perspective clients
- Develop, monitor, and document PPNR forecasting and stress testing models, by working on designing the models, data acquisition, model development, validation, implementation, monitoring, and reporting
- Developing, refining and maintaining robust and production quality market risk models (such as value-at-risk, stress tests) and capital models
- Implementing, testing and productionizing models and analytics
- Providing high quality documentation on usage of models and quality control of models
- Interact with various other groups such as risk managers, senior managers and stakeholders to explain the results of the models and analytics and provide quantitative advice
- Strong quantitative skills with a PhD degree in a quantitative discipline (Physics, Mathematics, Quantitative Finance, Statistics, Engineering, ) or, a Master’s degree ( with 2 -3 years of relevant work experience) in a quantitative discipline
- Excellent command of mathematics, modeling and numerical techniques
Quantitative Modeling Job Description
- Develop analyses to support the assessment and challenge of the forecasting approach/assumptions, and deliver adequate information to support effective challenges at the board and management levels
- Perform routine analysis for model performance monitoring and model review maintain current model inventory for model validation and audit compliance
- Develop and execute primary and benchmark DFAST stress test econometric models for credit risk and PPNR
- Perform all required tests and measures of developed models (e.g., goodness of fit, sensitivity, forecasting accuracy, volatility)
- Maintain and recommend enhancements to modeling methodology, processes and documentation
- Deliver comprehensive model documentation (e.g., Model Data Documentation, Model Development
- Uses best practices and traditional statistical/modeling techniques to develop and maintain rating, economic and other models as necessary and in consideration of the business goals of the model
- Provide tools, educate and support state teams in the implementation of models and other decision making support
- With minimal direction plans, implements, manages, and/or contributes on projects that are up to moderate complexity and are small-to moderate scale using accepted project management standards
- Tracks own plan performance and project timeline and communicates and presents project status
- Strong programming skills and experience with an object oriented programming language (Java, C++ )
- Strong quantitative skills with a Master’s degree in a quantitative discipline (Physics, Mathematics, Quantitative Finance, Statistics, Engineering)
- Ph.D./Master degree in a quantitative field such as Computer Science, Engineering, Computational physics/biology, Mathematical finance
- Experience with tree modeling building techniques and software such as CART, TreeNet
- Actively interact with a team of econometricians, statisticians and business experts to develop predictive models for various product offerings within Asset Management
- Perform ongoing development, testing, and maintenance of sophisticated econometric or statistical models that meet internal and regulatory standards
Quantitative Modeling Job Description
- Assists in the development of communication strategies and materials to support new plans, programs, processes, products
- Contributes to market share growth and profitability by recommending changes to products, pricing, risk management
- Understands and follows internal and external compliance requirements/standards
- Performing statistical analyses and adding value through new research objectives on forest stand development and landscape simulations
- Developing new research proposals for extramural funding that will increase our ability to model and project Acadian forest stands across a range of scenarios including modifications in management, disturbance, and other underlying factors such as wood markets
- Developing, conducting, and supervising field research as needed to further research goals
- Other reasonably related duties as assigned by supervisor such as service (e.g., serving on graduate students committees)
- Customer & Product Segmentation
- Client Target Models
- Manage and maintain targeting model inventory
- Perform data extraction, sampling, and statistical analyses
- Write technical model documentation along with associated visuals, outlines, and appendixes
- Advanced degree (PhD preferred) in Economics, Finance, or Statistics
- Minimum 3 years relevant work or research experience
- Strong coding proficiency, preferably in Python or R
- Experience with econometric modeling techniques and theory
Quantitative Modeling Job Description
- Coordinate ongoing model documentation efforts (internal models and vendor models)
- Provide analytical and information support to customer segmentation and modeling
- Build targeting models
- Support sales lead generation and marketing programs – model scoring, targeting recommendation, test plan, result measurement
- Develop quantitative predictive models of cell metabolism
- Integrate transcriptomic, proteomic and metabolomic data into quantitative models
- Use Monte Carlo approaches to more precisely measure and predict metabolic fluxes
- Use machine-learning and data-mining approaches to improve bioproduct yields
- Develop and optimize code and algorithms for predictive models
- Calculate metabolic flux distributions from carbon labeling data and flux balance analysis
- Excellent communication skills—both written and oral—with the ability to distill complex model information into clear, concise English
- Bachelor's degree in Statistics, Economics, Engineering or related
- Three (3) years experience in econometrics, mathematical finance, or statistical methods
- Sound understanding of Derivatives pricing model including the underlying mathematical theory (Stochastic Processes, Risk Neutral Measure, Monte Carlo Simulations )
- Knowledge of market practices across traded products – Rate Derivatives, FX, Commodities, Credit Derivatives (CDX, CMBX ), Repos, Debt Products
- A strong academic record with preference for a master’s/Ph.D
Quantitative Modeling Job Description
- Develop and validate kinetic models for bacterial and yeast metabolism
- Interact continuously with experimentalists to guide and propose new experiments and use available data to its full potential
- Prepare research results for publication and for presentations at scientific and internal meetings
- Assist in preparation of grant proposals
- Responsible for developing, analyzing, testing, and calibrating models, tools and products
- Responsible for Research and Development, product development of models, indexes and scores
- Responsible for aligning model and research development with stated strategic and tactical business objectives
- Demonstrates financial models to customers and clients to convince them to invest or buy their product or services
- Assess the computing needs and system requirements by consulting with users, management, technicians, and vendors
- Use analytical tools from a suite of mathematical/application tools to perform appropriate analysis on specified product, transaction, market activity, or investment vehicle that has multiple variables affecting potential outcomes
- Experience with advanced statistical modeling, numerical methods and research background
- Strong programming skills (Java, C++ or Python) and experience working with data
- Strong knowledge and programming experience in VB/VBA, Matlab, C/C++
- Three (3) years experience in model validation or model development
- A PhD in Statistics, Math, Physics, Engineering, Economics or similar field is strongly preferred
- Experience writing technical documents or other thought leadership