Washington, District Of Columbia

Company Description

At Fannie Mae, futures are made. The inspiring work we do makes an affordable home a reality and a difference in the lives of Americans. Every day offers compelling opportunities to modernize the nations housing finance system while being part of an inclusive team using new, emerging technologies. Here, you will help lead our industry forward, enhance your technical expertise, and make your career.

Job Description

As a valued colleague on our Fair Lending team, you will support Fannie Mae's core mission of promoting housing equity initiatives. You will be part of a small impactful team of Fair Lending analytics professionals. Using techniques from statistics and machine learning to conduct fair lending analysis on models, decision tools, policies, and initiatives.


In the Fair Lending - Data Science - Lead Associate role you will support Fannie Mae's compliance with fair lending laws, as well as the Company's equity initiatives. This 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:
  • Review traditional and artificial intelligence (AI)/machine learning (ML) models for algorithmic bias.
  • Provide recommendations on modifications to statistical models that further fair lending objectives.
  • Design modeling applications that support fair lending risk identification, measurement, and mitigation.
  • Gather and report on data necessary for fair lending assessments, data availability, and data quality.
  • Apply best practices in research and fair lending testing to model, product, and policy development.
  • Partner with team to design data visualizations, technical documentation, and non-technical presentation materials to communicate ideas and solutions to business partners, management, and regulators.



Minimum Required Experiences
  • 2 years of related work experience
  • Experience with Data Analytics and/or Data Engineering
  • Functional Skills
    • Working with people with different functional expertise respectfully and cooperatively to work toward a common goal
    • Experience with the financial services industry
    • Excellent written and oral communication skill in delivering complex technical information to audience with various background
    • Skilled in presenting information and/or ideas to an audience in a way that is engaging and easy to understand using graphical representation of information in the form of a charts, diagrams, pictures, and dashboards with programs and tools
  • Technical Skills
    • Experience in model validation, model risk oversight and/or model development
    • Expertise in utilizing technology tools and open-source programming languages
    • Skilled in Python
    • Familiarity with AI/ML explain ability analysis and building challenger models
Desired Experiences
  • 6 years of related work experience
  • Master's or other advanced degree in economics, finance, statistics, computer science or a related quantitative field
  • R, SAS, SQL experience
  • Some knowledge of the use of statistical analysis related to anti-discrimination laws such as fair lending and housing
  • Familiarity with financial services, particularly the Single Family and/or Multifamily mortgage business
  • Focused experience in AI, including machine learning and natural language processing (NLP)
  • Familiarity with AWS and machine learning tools, such as Sagemaker
  • Skilled in applying econometric and statistical technics including time series, panel data, discrete event modeling to mortgage performance modeling, property, and financial asset valuation modeling
  • Familiarity with adversarial debiasing techniques

Additional Information

In response to COVID-19, Fannie Mae has adapted our workplace and hiring processes to better safeguard our employees, candidates, and new hires. We understand that this is an unprecedented situation and Fannie Mae is committed to creating protocols for these processes that are agile and conform with federal, state, and local health administration guidance. While the company's operating status for on-site work is currently voluntary, the majority of Fannie Mae's workforce is remote until further notice. We continue to conduct all interviews and onboarding virtually. In addition, all employees who wish to come on site must be fully vaccinated against COVID-19 and enter their vaccination information into a confidential HR system before arriving at the facility, unless they have an approved accommodation. Click here to go directly to information about accommodations.

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.


Job ID: REF10644E

Washington, District Of Columbia


We are Future Makers at Fannie Mae, and our mission is to deliver stability and affordability to America’s housing market. We help make the 30-year, fixed-rate mortgage possible, and we’re passionate about increasing access to affordable housing, advancing technology to build a better mortgage process, and creating green finance products to drive environmental sustainability.

Are you a Future Maker looking to join a diverse, collaborative team? We welcome your interest in helping us tackle tomorrow’s challenges today.

We continue to hire for all open roles, with interviewing and onboarding conducted virtually until further notice.

Fannie Mae is an Equal Opportunity Employer.

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