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Fannie Mae

Buys home loans from lenders and guarantees them

Data Science Analyst 3

Data ScienceConfirmed live in the last 24 hours
Full-timeWashington, DC, USANo salary listedIn-person

About the Job

Requirements

  • A bachelor's degree or equivalent.
  • Experience applying data mining, data analysis, statistical, econometric, and machine learning methods.
  • Ability to coordinate with data engineering, data management, product, business-owner, and platform teams.
  • Ability to design tailored analytical solutions for complex business challenges.

Responsibilities

  • Produce insights, new product or change recommendations, process improvements or automation, and predictive modeling.
  • Coordinate product and business owners across divisions or product lines, data engineers, and platform teams to define needs and advise on capabilities, data availability, and alternative data uses.
  • Lead implementation of new statistical modeling capabilities requiring coordination of multiple processes, systems, or stakeholder groups.
  • Use advanced predictive analytics to support business applications and integrate data with statistical models or algorithms.
  • Apply new or novel practices in research and testing to product development, deployment, and maintenance.
  • Design analytical applications for 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.
  • Prepare external or created data sources for analysis or use as enterprise data assets.

About the Company

Fannie Mae

Buys home loans from lenders and guarantees them

Fannie Mae buys single-family and multifamily mortgages from banks, credit unions and other lenders across the United States, giving those lenders cash to make more home loans. It does not lend to homebuyers directly; instead it pools most of the loans it buys into mortgage-backed securities and guarantees investors timely payment of principal and interest. Lenders deliver loans that meet its underwriting standards, often checked through its Desktop Underwriter system. The company earns guaranty fees on the securities it backs and interest income on loans held in its portfolio. Congress chartered it in 1938, it has operated under federal conservatorship since 2008, and it is headquartered in Washington, D.C.

Company size
5,001-10,000
Company stage
IPO
Headquarters
Washington, DC
Founded
1938

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