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Fannie Mae
Fannie Mae
5,001 – 10,000 Employees
H1B Visa SponsorB2BFinanceReal Estate
Fannie Mae is a government-sponsored enterprise operating at the intersection of finance and real estate. It supports the U.S. housing finance system by purchasing mortgages from lenders, pooling them into mortgage-backed securities, and helping connect lenders with capital markets investors. Through this work, Fannie Mae provides liquidity for home purchase and rental housing markets while supporting broader housing affordability and market stability. Its large, multidisciplinary organization offers opportunities to contribute to business-to-business financial services and the infrastructure behind residential real estate finance.
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Senior Quantitative Modeler – Washington, DC (Hybrid)

Fannie Mae is seeking a Senior Quantitative Modeler to develop mortgage-finance models for property valuation, home-price indexes, and forecasting. The role applies statistical, econometric, and programming methods to quantitative analysis and model risk assessment.

USUnited StatesVAVirginiaWAWashington
$123,000 – $161,000 / year
HybridFull-timeSeniorEnglish RequiredGeneral
AWSPythonSQL

Description

  • Research mortgage-finance questions using theoretical and empirical methods with public and proprietary data, covering property valuation, home-price indexes, and forecasting.
  • Apply mathematical, statistical, and econometric methods to inform business strategies and initiatives.
  • Deliver modeling projects in accordance with company policies and established industry practices.
  • Perform or evaluate ad hoc quantitative analyses, modeling, and programming with SQL, R, or Python.
  • Apply advanced data-mining and statistical methods to generate insights, hypotheses, and recommendations.
  • Find opportunities to use quantitative approaches to strengthen business performance.
  • Design validation and testing approaches while evaluating model methodology, outputs, processes, quality, and risk.
  • Interpret model findings, track performance, and evaluate associated risks.
  • Explain complex technical topics through presentations, white papers, review reports, and work papers.

Requirements

  • Bachelor’s degree or an equivalent qualification.
  • At least two years of experience in data analysis and modeling.
  • Demonstrated curiosity and adaptability when learning and responsibly applying emerging technologies, including artificial intelligence.
  • A postgraduate qualification or equivalent in statistics, physics, or mathematics is preferred.
  • Experience analyzing and modeling large datasets is preferred.
  • Experience producing technical documentation on data analysis and findings is preferred.
  • Proficiency with SQL, Python, GitHub, and AWS is preferred.

Benefits

  • Eligibility for Fannie Mae’s incentive program, subject to applicable program terms.
  • Comprehensive benefits covering health, life, voluntary lifestyle, and other offerings.
  • Benefits and perks designed to support physical, mental, emotional, and financial well-being.
  • Flexible work arrangement through the Flex program.

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