Lead Quantitative Modeler – Loan Performance Models

Midtown Center, United States

Fannie Mae

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

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At Fannie Mae, 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 a collaborative team thriving in an energizing environment. Here, you will grow your career and help create access to affordable housing finance.

Job Description

As a valued colleague on our team, you will act as team lead while conducting theoretical and empirical research with public and proprietary data in all areas of the mortgage finance business. This may include mortgage products and securities, borrower behavior, loan performance and loss given default models, , residential property valuation, macroeconomic models, financial valuation of finance assets and derivatives, economic capital, and stress testing. Additionally, you will coach and mentor team members.

THE IMPACT YOU WILL MAKE

  • The Enterprise Analytics and Modeling – Lead Quantitative Modeling – Loan performance and Loss Given Default 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:

  • Lead teams in providing innovative, thorough, and practical solutions that support business strategies and initiatives and in conducting or assessing ad hoc quantitative analyses, modeling, or programming using  Python, SQL R.

  • Coach and mentor team members in utilizing data mining and/or statistical techniques to develop analytic insights, sound hypotheses, and informed recommendations. Identify opportunities to apply quantitative methods to improve business performance.

  • Conduct model research on mortgage loan performance and loss given default models. Including data preparation and diagnostics, variable selections, model selection, model specifications and testing

  • Apply advanced skill, knowledge, and/or experience while leading teams to complete modeling projects aligned with established company policies and industry-wide modeling practices, including model development, model testing and model documentation practices.

  • Contribute to developing validation or testing strategies and assessing the quality and risk of model methodologies, outputs, and processes and applying understanding of relevant business context to interpret model results, monitor performance, and assess risks.

  • Communicate technical subject matter clearly and concisely to department leadership and teams.

THE EXPERIENCE YOU BRING TO THE TEAM

Minimum Required Experiences

  • 4 years of research or industry experience in quantitative finance, econometric modeling, economics, credit risk modeling or big data analytics using Python and SQL.

Desired Experiences

  • Bachelor degree or equivalent

  • Advanced Degree in Economics, Statistics, Math, Data science or a related field

  • Hands-on experience building mortgage loan performance and loss given default models

  • In depth knowledge of mortgage industry

  • Proficient in Python and skilled in AWS tools.

  • Excellent communication skills with proven ability to explain complex models to business users and stakeholders.

  • Strong business acumen with the ability to digest complex issues and communicate in a concise manner to influence desired outcomes.

  • Experience mentoring and leading junior analysts and quantitative modelers.

Qualifications

Education:

Bachelor's Level Degree (Required)

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

For most roles, employees are encouraged to work onsite on a regular basis at their designated office location. In-office work cadence is determined by your manager. Proximity within a reasonable commute to your designated office location is preferred unless the job is noted as open to remote.


Fannie Mae is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, religion, sex, national origin, disability, age, sexual orientation, gender identity/gender expression, marital or parental status, or any other protected factor. Fannie Mae is committed to providing reasonable accommodations to qualified individuals with disabilities who are employees or applicants for employment, unless to do so would cause undue hardship to the company. If you need assistance using our online system and/or you need a reasonable accommodation related to the hiring/application process, please complete this form.

The hiring range for this role is set forth below. 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.

Requisition compensation:

138000

to

180000
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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 Big Data Credit risk Data Analytics Data Mining Economics Finance Mathematics ML models Python R Research SQL Statistics Testing

Perks/benefits: Career development Health care

Regions: Remote/Anywhere North America
Country: United States

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