Internship

Data Science Analyst 3 Intern

Cat J

Posted on 8/18/2026

Fannie Mae

Fannie Mae

10,001+ employees

Purchases mortgages, issues mortgage-backed securities

No salary listed

Washington, DC, USA

In Person

Bachelor's

Category
Data & Analytics (1)
Required Skills
Data Visualization
Data Science
Machine Learning
Data Engineering
Data Analysis

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Requirements
  • A bachelor's degree or equivalent.
  • Experience applying data mining, data analysis, statistical, and econometric methods.
  • Experience with predictive modeling, machine learning, and statistical models or algorithms.
  • Ability to design data visualizations and technical documentation for business partners.
Responsibilities
  • Act as team lead to produce insights, product or change recommendations, process improvements or automation, and predictive models.
  • Coordinate product and business owners, data engineers, and platform teams to define needs and advise on capabilities, data availability, and alternative uses.
  • Lead implementation of new statistical modeling capabilities across multiple processes, systems, or stakeholder groups.
  • Apply advanced predictive analytics to business applications and integrate data with statistical models or algorithms.
  • Apply research and testing practices to product development, deployment, and maintenance.
  • Assess business challenge complexity and design tailored solutions.
  • Design analytic applications supporting risk measurement, financial valuation, decision-making, and business performance.
  • Design data visualizations, technical documentation, and non-technical presentation materials to communicate ideas and solutions to business partners.
  • Coach and mentor less experienced associates.

Fannie Mae buys mortgages from lenders, holds some, and packages others into mortgage-backed securities (MBS) sold to investors to provide liquidity for new lending. It operates in the secondary mortgage market, where originated loans are sold to Fannie Mae, then either held or securitized into MBS and sold; it earns fees for guaranteeing timely payments and interest on held mortgages. It differentiates itself as a government-sponsored enterprise (GSE) with a long-standing role in promoting affordable housing and community initiatives. Its goal is to maintain stable, affordable access to housing by ensuring lenders have funds to offer mortgages and by securitizing debt to support the U.S. housing finance system.

Company Size

10,001+

Company Stage

IPO

Headquarters

Washington DC, District of Columbia

Founded

1938

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Simplify Jobs

Simplify's Take

What believers are saying

  • Q2 2026 net income hit $4.0 billion; net worth reached $116.5 billion.
  • Single-family serious delinquency stayed 0.58% in June 2026, historically low.
  • FHFA’s June 2026 crypto-reserve directive expands potential borrower eligibility and volume.

What critics are saying

  • Multifamily provision for credit losses rose to $259 million in Q2 2026.
  • Shareholder litigation over the 2012 sweep keeps ownership uncertainty alive in 2026.
  • Washington’s 2026 policy directives still weaponize Fannie for noncommercial housing goals.

What makes Fannie Mae unique

  • Fannie Mae’s $4.1 trillion guaranty book anchors U.S. mortgage liquidity.
  • FHFA conservatorship gives it unmatched policy reach over underwriting and market access.
  • CRT, DUS, and MBS infrastructure transfers mortgage risk to private investors.

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Benefits

Flexible Work Hours

Company News

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M&T Bank appoints Fannie Mae veteran Kalyana Bedhu as AI engineering head.

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Science Applications International Corporation
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CODE MEDIA GROUP, LLC
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Movers and shakers for august.

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HousingWire
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Fannie Mae Q2 net income hits $4B.

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