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2 information technology jobs found

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Fannie Mae
Full time
 
Enterprise Modeling and Analytics - Product Management - Advisor
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 The Product Manager for the Common Cashflow Application (CCFA) Modeling Platform will lead the product strategy, delivery, and lifecycle management of Fannie Mae’s largest and most critical modeling application. CCFA supports enterprise-wide functions including single-family credit loss allowance, pricing, and financial forecasting. This senior-level role will serve as the central point of accountability for all product management. The Product Manager will also act as a key liaison between modeling, technology, finance, and business stakeholders to ensure alignment of product vision with enterprise objectives. THE IMPACT YOU WILL MAKE...

Feb 17, 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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