Quantitative Modeling –Interest Rate Derivatives- Manager

Fannie Mae•Washington, DC

7d•$155,000 - $209,000•Hybrid

About The Position

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 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. 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.

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.