Senior Quantitative Modeler

Fannie Mae•Washington, DC
•$123,000 - $161,000•Hybrid

About The Position

Playing an essential role in the U.S. economy, Fannie Mae is foundational to housing finance. Here, your expertise can help fuel purpose-driven innovation that expands access to homeownership and affordable rental housing across the country. Join Fannie Mae to grow your career and help people find a place to call home. As a valued colleague on our team, you will, under limited supervision, conduct theoretical and empirical research with public and proprietary data in the areas of mortgage finance business, including residential property valuation, home price index estimation, and home price forecasting .

Requirements

  • Bachelor degree or equivalent
  • 2+ years of data analysis and modeling experience
  • Shows curiosity and adaptability in learning and responsibly applying new technologies, including artificial intelligence, to reimagine how we work

Nice To Haves

  • Post graduate degree or equivalent in the field of statistics, physics, or math
  • Experience with large data analysis and modeling
  • Preparing technical documents on data analysis and results
  • Proficient in SQL, Python, GitHub, and AWS

Responsibilities

  • Apply moderately complex mathematical, statistical, and econometric techniques to provide innovative, thorough, and practical solutions that support business strategies and initiatives.
  • Apply experience and skill to complete modeling projects aligned with established company policies and industry-wide modeling practices.
  • Conduct or assess ad-hoc quantitative analyses, modeling, or programming using SQL, R, or Python. Utilize advanced data mining and/or statistical techniques to develop analytic insights, sound hypotheses, and informed recommendations.
  • Identify opportunities to apply quantitative methods to improve business performance.
  • Implement validation or testing strategies and assess the quality and risk of model methodologies, outputs, and processes.
  • Apply understanding of relevant business context to interpret model results, monitor performance, and assess risks.
  • Communicate complex technical subject matter clearly and concisely, both verbally and through written communication, such as white papers, review reports, or work papers.

Benefits

  • Health, Life, Voluntary Lifestyle, and other benefits and perks that enhance an employee's physical, mental, emotional, and financial well-being.
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