Fair Lending - Analytics & Modeling, Lead Associate

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.

Job Description

As a Lead Associate, you will support Fannie Mae’s analysis of fair lending compliance and litigation risk. You will be part of a small and impactful team of quantitative fair lending professionals using statistical methods to evaluate models, decision tools, products, policies, and initiatives for compliance and litigation risk.

THE IMPACT YOU WILL MAKE

The Fair Lending - Analytics & Modeling, Lead Associate 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:

• Use statistical and other quantitative methods to evaluate models (including artificial intelligence/machine learning models), decision tools, products, policies, and initiatives for fair lending compliance and litigation risk.

• Provide recommendations that mitigate fair lending compliance and litigation risk.

• Apply best practices in fair lending testing and monitoring to support fair lending risk identification, measurement, and mitigation.

• Partner with the team to design data visualizations, technical documentation, and nontechnical presentation materials to communicate ideas and solutions to lawyers, business partners, management, and regulators.

• Support the management of data, access, and systems to facilitate current analyses and support the preservation of historical analyses.

THE EXPERIENCE YOU BRING TO THE TEAM

Minimum Required Experience:

• 4 years related experience

• Bachelor degree or equivalent

• Experienced in data analytics and modeling, including with linear and logistic regressions

• Skilled in Python, R, and Excel

• Familiarity with AI/ML

• Ability to work with people with different functional expertise respectfully and cooperatively towards a common goal

• Excellent written and oral communication skills with ability to deliver complex technical information to audiences with various backgrounds

Desired Experiences:

• Bachelor degree or equivalent in Economics, Statistics, Computer Science, or other quantitative field

• Experience with the financial services industry with a focus in credit risk modeling or mortgages

• Experience in model validation, model risk oversight, and/or model development

• Knowledge of the use of statistical analysis to evaluate compliance with non-discrimination laws such as fair lending and fair housing

• Skilled in applying econometric and statistical techniques to mortgage performance modeling, property, and financial asset valuation modeling

• Familiarity with the Single Family and/or Multifamily mortgage business

• Experience with Tableau and R Markdown

• Experience in AWS and machine learning tools, such as SageMaker

Fair Lending - Analytics and Modeling - Lead Associate

Target Pay Range: $121,000 - $158,000 a year

#LI-Hybrid #LI-ME1

Qualifications

Education:

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

For most roles, employees are expected 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:

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