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2 senior lead software engineer jobs found in Washington

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Washington Fannie Mae senior lead software engineer
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Fannie Mae
Full time
 
Lead Quantitative Engineer – Single Family
Fannie Mae Washington, DC, USA
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. Job Description As a valued colleague on our team, you will act as team lead for the development and implementation of all components of financial models, cash flow simulations, P&L, and risk metrics calculations in end-user or production computing systems for use in business decisions, financial and regulatory reporting, and risk management, as well as coach and mentor team members. THE IMPACT YOU WILL MAKE The Lead Quantitative Engineer – Single Family 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: Communicate with model...

Mar 26, 2026
Fannie Mae
Full time
 
Enterprise Risk – Fraud Risk Analytics & Technology – Principal (Second Line)
Fannie Mae Washington, DC, USA
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. Job Description As a   leader   within the   Analytics & Modeling   team   in the   Second Line of Defense (Enterprise Risk Management) , you will lead the strategy and oversight of Fannie Mae’s   fraud risk analytics and fraud   related technology .  You   will provide authoritative independent challenge, advanced analytical insight, and credible oversight of the First Line’s fraud detection, prevention, and monitoring capabilities. You will shape the enterprise fraud analytics agenda, strengthen fraud data governance, and ensure our tools and methods align with risk appetite and supervisory expectations.   The Impact...

Mar 17, 2026
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