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Fannie Mae
Washington, DC; Midtown Center; Reston, VA; Plano, TX
Source: Fannie Mae careers · View original posting
From Fannie Mae's posting. “We” and “our” refer to the employer.
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 the Capital Markets Pricing and Valuation team, you will assist with supporting the team valuing Fannie Mae’s Asset and Liability portfolios using financial industry knowledge, applying mathematical/fixed income models to business or financial data, and advanced tools or techniques (such as SQL, Python, and R).
Your efforts will enable the team to provide market valuations to internal customers, implement business initiatives, analyze or report on business performance, solve business questions, or inform business decisions. Work may include developing models or prototypes to achieve these goals but is not the core focus in the role.
The Capital Markets Pricing and Valuation - Lead Associate role will offer you the opportunity to make an impact, while working alongside people who care so that you can deliver on the following responsibilities:
Use fixed income analytics to develop and implement new pricing methodologies and strategies to ensure pricing is consistent with current market environment and reduce operational risk
Analyze large amounts of data efficiently using advanced financial engineering tools and techniques. Determine customer's intended uses for a financial analysis or model.
Conduct financial analysis or forecasting, which may include scenario or sensitivity analysis, stress testing, or attribution analysis.
Execute models and/or interpret model results. Translate the results from the analysis or models for the customer into understandable conclusions.
Work directly with model builders to vet new models, suggest changes to existing models, or analyze model performance data.
Shows curiosity and adaptability in learning and responsibly applying new technologies, including artificial intelligence, to reimagine how we work.
#LI-Hybrid #LI-ME
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