Enterprise Model Risk
3 weeks ago
Job Description As a valued colleague on our team, you will, under limited supervision, conduct theoretical and empirical research with public and proprietary data in all areas of mortgage finance business, including mortgage products and securities, borrower behavior, investment and hedging strategies, residential property valuation, macroeconomic models including housing prices and interest rate, financial valuation of finance assets and derivatives, economic capital, and stress IMPACT YOU WILL MAKEThe Enterprise Model Risk - Quantitative Modeling - Senior Associate role will offer you the flexibility to make each day your own, while working alongside people who care so that you can deliver on the following responsibilities: Fannie Mae seeks Quantitative Modeler
- Conduct theoretical and empirical research using public and proprietary data in all areas of mortgage finance business, including mortgage products and securities, borrower behavior, investment and hedging strategies, residential property valuation, and macroeconomic models.
- Develop model risk reporting and analytical applications using Python, and other open-source technologies.
- Contribute to an Agile development process for continuous iteration and improvement of the technological roadmap for model risk monitoring and information management.
- Employ version control, automated testing, and thoughtful objected oriented design to develop resilient and scalable applications.
- Develop, implement, and manage robust data models for querying and delivering analytical insights to oversight and model development staff on SQL and/or No-SQL databases.
- Utilize UI/UX best practices to develop applications that inform stakeholders on relevant model risk data.
- Apply mathematical, statistical, and econometric techniques to provide innovative, thorough, and practical solutions to support business strategies and initiatives.
- Utilize data mining and statistical techniques to develop analytic insights, sound hypotheses, and informed recommendations.
- Identify opportunities to apply quantitative methods to improve business performance.
- Ensure modeling projects are conducted in accordance with established company policies and generally-accepted modeling practices.
- Develop and implement validation strategies and assess the quality and risk of model methodologies, outputs, and processes.
- Mentor less experienced team members.
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