Quantitative Modeling Manager - Prepayment Models (Open to Remote)

Washington, DC, United States

Fannie Mae

We facilitate equitable and sustainable access to homeownership and quality, affordable rental housing across America.

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Company Description

At Fannie Mae, futures are made. The inspiring work we do helps make a home a possibility for millions of homeowners and renters. Every day offers compelling opportunities to impact the future of the housing industry while being part of an inclusive team thriving in an energizing, flexible environment. Here, you will grow your career and help create access to fair, affordable housing finance.

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, including mortgage products and securities, borrower behavior, investment and hedging strategies, including  interest rate, financial valuation of finance assets and derivatives,  and stress testing.

THE IMPACT YOU WILL MAKE

The Quantitative Modeling Manager - Prepayment Models 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 SAS, SQL, R, or Python.
  • 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.

Qualifications

THE EXPERIENCE YOU BRING TO THE TEAM

Minimum Required Experiences

  • 6 years hands-on experience in building MBS prepayment models for pricing MBS and calculating risk analytics.
  • Familiar with MBS data, both CUSIP level and loan level.
  • Experienced in building mortgage credit risk models such as loan termination and loss given default models.
  • Proficient in Python and skilled in AWS tools
  • Bachelor’s degree or equivalent

Desired Experiences

  • Advanced Degree in Data Science, Economics, Math, Statistics, or a related field
  • In-depth knowledge of the mortgage industry and MBS market.
  • Strong business acumen with the ability to digest complex issues and communicate in a concise manner to influence desired outcomes.
  • Proven track record of successfully leading a team of quantitative analysts or modelers to build complex quantitative models.

Additional Information

REF13778K

The future is what you make it to be. Discover compelling opportunities at careers.fanniemae.com.

Fannie Mae is an Equal Opportunity Employer, which means we are committed to fostering a diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, religion, national origin, gender, gender identity, sexual orientation, personal appearance, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation in the application process, email us at careers_mailbox@fanniemae.com.
 

The hiring range for this role is set forth on each of our job postings located on Fannie Mae's Career Site. Final salaries will generally vary within that range based on factors that include but are not limited to, skill set, depth of experience, certifications, and other relevant qualifications. This position is eligible to participate in a Fannie Mae incentive program (subject to the terms of the program). As part of our comprehensive benefits package, Fannie Mae offers a broad range of Health, Life, Voluntary Lifestyle, and other benefits and perks that enhance an employee’s physical, mental, emotional, and financial well-being. See more here.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Leadership Jobs

Tags: AWS Credit risk Data Mining Economics Finance Mathematics Python R Research SAS SQL Statistics Testing

Perks/benefits: Career development Flex hours Health care

Regions: Remote/Anywhere North America
Country: United States

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