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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
ContractWashington, DC, USANo salary listedIn-person

About the Job

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 coordinate with data engineering, data management, platform, product, and business-owner teams.
  • Ability to design data visualizations and technical and non-technical presentation materials.

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 analytical solutions.
  • Design analytic applications supporting risk measurement, financial valuation, decision-making, and business performance.
  • Apply machine learning to improve operational efficiency and solve complex business problems.
  • Design data visualizations, technical documentation, and non-technical presentation materials to communicate ideas and solutions.
  • Partner with and coordinate existing data engineering and data management teams.
  • Coach and mentor less experienced associates.

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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