Quantitative Modeling –Interest Rate Derivatives- Manager

Fannie MaeWashington, DC
$155,000 - $209,000Hybrid

About The Position

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. 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.

Requirements

  • 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 work
  • Bachelor's Level Degree (Required)

Nice To Haves

  • 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

Responsibilities

  • Manage the application of mathematical, statistical, and econometric techniques to provide innovative, thorough, and practical solutions that support business strategies and initiatives.
  • Oversee ad hoc quantitative analyses, modeling, or programming using Python, XML, SQL, R or SAS.
  • Guide the effective application of data mining and/or statistical techniques to develop analytic insights, sound hypotheses, and informed recommendations, as well as identify opportunities to apply quantitative methods to improve business performance.
  • Ensure the team completes modeling projects aligned with established company policies and industry-wide modeling practices.
  • Manage the implementation of validation or testing strategies and assess the quality and risk of model methodologies, outputs, and processes.
  • Apply understanding of relevant business context to interpret model results, monitor performance, and assess risks.
  • Coach team members to communicate technical subject matter clearly and concisely.

Benefits

  • Health, Life, Voluntary Lifestyle, and other benefits and perks that enhance an employee's physical, mental, emotional, and financial well-being.
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