Enterprise Analytics and Modeling – Quantitative Modeling – Lead Associate@ Fannie Mae

Job Information

Job Description:

The Enterprise Analytics and Modeling – Quantitative Modeling – Lead 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 – Washington DC

  • Lead projects/teams in providing innovative, thorough, and practical solutions that support business strategies and initiatives and in conducting or assessing ad hoc quantitative analyses, modeling, or programming using Stata, SAS, R, Python.
  • Utilize advanced data mining and/or statistical techniques to develop analytic insights, sound hypotheses, and informed recommendations.
  • Apply advanced skill, knowledge, and/or experience while leading teams to complete modeling projects aligned with established company policies and industry-wide modeling.
  • Contribute to developing validation or testing strategies and assessing the quality and risk of model methodologies, outputs, and processes and applying understanding of relevant business context to interpret model results, monitor performance, and assess risks”.
  • Identify opportunities to apply quantitative methods to improve business performance.
  • Communicate technical subject matter clearly and concisely to department leadership and teams.
  • Coach and mentor less experienced team members.
  • This is a hybrid (work in office and at home) position.


Req’d: PhD in Economics or Statistics. Coursework, research or experience modeling using Stata and R, and performing advanced economic and econometric/statistical analysis including regression, time series, panel data, discrete event, economic optimization, and stochastic and dynamic general equilibrium models.

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, which may also include a credit check for positions in some areas of our business.

Experience Level: Mid-Senior
Work From: Onsite

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