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FM
Fannie Mae
Quantitative ModelingInterest Rate Derivatives- Manager
Career Insights for Financial Quantitative Analyst
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Scorecard
Based on Washington, D.C. (District of Columbia) data
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What they do
A Financial Quantitative Analyst develops mathematical or statistical models used in the financial sector. Applies models and quantitative methods to analyze securities or other business data; provides analysis used to inform investment and trading strategies and manage risk.
$133,363 / year median in Washington, D.C. (District of Columbia)
-16% projected decline
Job Description
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 leader on our team, you will manage the work of a team whose staff conduct theoretical and empirical research with public and proprietary data in all areas of mortgage finance business, with a focus on financial valuation and counterparty risk of interest rate derivatives as well as hedge accounting.
THE IMPACT YOU WILL MAKE
The Quantitative Modeling- Interest Rate Derivatives
- Manager 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: Manage the application of mathematical, statistical, and econometric techniques to provide innovative, thorough, and practical solutions that support business strategies and initiatives.
THE EXPERIENCE YOU BRING TO THE TEAM
Minimum Required Experiences:
6 years of related industry experience Demonstrated experience in leading a project and/or mentoring junior team members Experienced in developing financial models and preparing interest rate and derivatives data using Python and/or SQL Master's degree in a highly quantitative field, such as quantitative finance/financial engineering, mathematics, statistics and physics Shows curiosity and adaptability in learning and responsibly applying new technologies, including artificial intelligence, to reimagine how we workDesired Experiences:
Ph.D degree in a highly quantitative field, such as quantitative finance/financial engineering, mathematics, statistics and physics Experience in main industry analytics platforms such as YieldBook, Bloomberg and/or BlackRock Demonstrated experience in interest rate derivatives valuation, future potential exposure (PFE) and hedge accounting Enterprise Modeling and Analytics- Quantitative Modeling
Manager Target Pay Range:
$155,000- $209,000 a year #LI-Hybrid #LI-ME1