Full-Time Advisor Quantitative Modeler - Multifamily
Fannie Mae is hiring a remote Full-Time Advisor Quantitative Modeler - Multifamily. The career level for this job opening is Experienced and is accepting Washington, DC based applicants remotely. Read complete job description before applying.
Fannie Mae
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As a valued team member, you will use your extensive knowledge of principles, advanced techniques, and theories to conduct theoretical and empirical research using public and proprietary data in multifamily mortgage finance, including: commercial property valuation, macroeconomic models (property value, NOI, interest rate), mortgage products and securities, borrower behavior, investment and hedging strategies, residential property valuation, macroeconomic models (housing prices, interest rate), financial valuation of finance assets and derivatives, economic capital, and stress testing.
Responsibilities:
- Recommend improved methods and techniques for innovative, thorough, and practical solutions to support business strategies and initiatives, and better ways to conduct/assess quantitative analyses, modeling, or programming using SAS, SQL, R, or Python.
- Utilize advanced data mining/statistical techniques to develop analytic insights, sound hypotheses, and informed recommendations.
- Identify opportunities to apply quantitative methods to improve business performance.
- Counsel teams on company and industry-wide modeling practices.
- Inform the team's technical direction for validation or testing strategies and assessment of quality and risk of model methodologies, outputs, and processes.
- Apply business context to interpret model results, monitor performance, and assess risks.
- Communicate technical subject matter clearly and concisely to team leadership and project stakeholders.
Minimum Required Experience:
- 6 years' experience developing quantitative models and applying quantitative methods to solve business problems.
Desired Experience:
- Bachelor's degree or equivalent in Economics, Math, Statistics, Data Science, or a related field.
- Experience with developing macroeconomic forecast models.
- Experience with forecasting multifamily or similar commercial real estate property value and NOI.
- Demonstrated ability to lead a team, manage research tasks and timelines, and communicate technical subject matter to business users.
- Programming using Python or R.