Quantitative Modeling Manager - Prepayment Models Flexible Hybrid
Quantitative Modeling Manager - Prepayment Models Flexible Hybrid
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Salary Not Disclosed
1 Vacancy
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 industrywide 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 handson 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
- Bachelors degree or equivalent
Desired Experiences
- Advanced Degree in Data Science Economics Math Statistics or a related field
- Indepth 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
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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
The hiring range for this role is set forth on each of our job postings located on Fannie Maes 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 employees physical mental emotional and financial wellbeing. See more here.
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
