Quantitative Modeler IV

Fannie Mae
Washington, DC
May 17, 2018
May 21, 2018
Accountant, IT
Full Time
THE COMPANYAre you interested in helping solve today's most critical housing challenges? In simplest terms, Fannie Mae serves the people who house America. We work at the heart of housing by providing reliable, affordable mortgage financing in all markets at all times, buying loans that banks and other lenders originate, so they can fund new loans. This gives more people the opportunity to buy, refinance, or rent homes and apartments. Creating these opportunities is what drives the people who work at Fannie Mae.For more information about Fannie Mae, visit INFORMATIONSupport, develop, assess, and execute statistical, mathematical, economic, and financial models for business decision making in all areas of mortgage finance business.KEY JOB FUNCTIONSConduct 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 testing. 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 Understand relevant business context to properly interpret model results, monitor performance and assess risks. Conduct ad hoc quantitative analyses, modeling, or programming using SAS, SQL, R, or Python Communicate technical subject matter clearly and concisely, both verbally and through written communication via white papers, reports and presentations, to individuals from various backgrounds Collaborate effectively, work as part of a team and across organizational lines to develop and implement solutions to meet business needs; Serve as project lead Work autonomously guiding teams, choosing projects, and often act as SME resource across departments or as an in-house-expertEDUCATIONBachelor's Degree or equivalent requiredMINIMUM EXPERIENCE6+ years of related experienceSPECIALIZED KNOWLEDGE & SKILLS?Advanced degree in Finance, Economics, or related quantitative fields. PhD preferred. Strong research and modeling experience in behavioral models (such as pool- and loan-level prepayment, default, severity) and mortgage-related valuation models (such as term structure, mortgage and risk analytics, economic capital). Experience in model risk management desired. Familiarity with financial application systems. Proficient programming skills, preferably in SAS, Python, Matlab, R, C++. Solid understanding of housing finance, mortgage market, and mortgage products. Excellent writing, presentation, and inter-personal communication skills with a wide range of audience including modelers, business users, and management. Must be a team player. Provide technical guidance or coaching to more junior staff. EMPLOYMENT As a condition of employment with Fannie Mae, any successful job applicant will be required to pass a pre-employment drug screen and to successfully complete a background investigation.?Fannie Mae is an Equal Opportunity Employer.

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