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 nation's 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 team, you will work with your team to apply fundamental techniques to support production of insights, new product or change recommendations, process improvement or automation, and predictive modeling. You will apply basic knowledge of data mining and data analysis methods, have familiarity with common large data processing techniques, computational programing capabilities, and practical problem-solving skills, and articulate solutions to non-technical consumers or partners. Additionally, you will work with multiple teams across the enterprise partner with data engineering and data management teams to apply data mining techniques to external or created data sources in preparation for analysis or use of enterprise data assets.

The Fair Lending - Data Science - Senior Associate role you will support Fannie Mae's compliance with fair lending laws, as well as the Company's race and 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:
  • Gather and report on data necessary for fair lending assessments, data availability, and data quality.
  • Provide recommendations regarding modifications to statistical modeling capabilities in an effort to support fair lending objectives.
  • Apply industry practices in research and fair lending testing to model, product, and policy development.
  • Design modeling applications that support fair lending risk identification and measurement.
  • Partner with team to design data visualizations, technical documentation, and non-technical presentation materials to communicate ideas and solutions to business partners.



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 a model validation and/or model development
    • Expertise in utilizing technology tools and open-source programming languages (Python, R etc.) to support business or risk management processes
    • Experiences in developing applications to support efficient access to model risk data by leveraging and integrating multiple technology tools
    • Experiences in developing tools to support Model Validation and Review Reports production
Desired Experiences
  • 4 years of related work experience
  • Master's or other advanced degree in economics, finance, statistics or a related quantitative field
  • Strong knowledge on financial and/or mortgage lending industry
  • Focused experience in artificial intelligence (AI), including machine learning and natural language processing (NLP)
  • Exposure to Fair Lending Laws and Regulations
  • Skilled in AWS 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


Skilled in R Language Programming
Skilled in SGPLOT
Skilled in RStudio to develop programs in R
Skilled in Python object-oriented programming
Skilled in R Markdown
Skilled in Tableau
Skilled in SAS
Skilled in DBeaver SQL client software
Skilled in Plotly
Skilled in Excel
Skilled in TOAD SQL database management tool
Skilled in SQL
Experience using BitBucket
Skilled in Netezza SQL
Experience using GitHub
Experience using JIRA

Additional Information

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

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: REF6136C


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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