Campus – Treasury & Capital Markets Program Intern (Quantitative Research Track)

Fannie Mae
Washington
Workplace: OnsiteInternshipUSD 35+ hourlyFunction: Capital Markets, Trading & QuantEducation: bachelorsSkills: ["Analytical reasoning","Attention to detail","Communication","Collaboration","Problem-solving"]

Serve as a 10-week intern on the Treasury & Capital Markets team, working with professionals on the market room trading floor to support mortgage-backed securities and fixed-income analytics. In the Quantitative Research Track, you’ll conduct statistical research, build reproducible analyses and data visualizations, prototype and validate valuation/risk models, and apply responsible ML/AI to large datasets. You’ll collaborate across traders, analysts, and technology partners to translate market questions into actionable solutions.

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Fannie Mae
Fannie Mae
1 week ago

Campus – Treasury & Capital Markets Program Intern (Quantitative Research Track)

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Job Summary

Serve as a 10-week intern on the Treasury & Capital Markets team, working with professionals on the market room trading floor to support mortgage-backed securities and fixed-income analytics. In the Quantitative Research Track, you’ll conduct statistical research, build reproducible analyses and data visualizations, prototype and validate valuation/risk models, and apply responsible ML/AI to large datasets. You’ll collaborate across traders, analysts, and technology partners to translate market questions into actionable solutions.
Location: Washington
Workplace: Onsite
Employment Type: Internship
Job Function: Capital Markets, Trading & Quant
Seniority: Intern level

Key Responsibilities

  • •Conduct quantitative research and statistical analysis on financial and market data to evaluate hypotheses and support pricing, trading, risk management, and business decisions.
  • •Develop reproducible analyses, data visualizations, and research tools using Python, R, or SQL.
  • •Prototype, test, validate, and monitor valuation, forecasting, pricing, and risk models.
  • •Apply machine-learning and artificial-intelligence tools responsibly to improve analytical capabilities and automate workflows.
  • •Evaluate model performance, document methodologies and assumptions, and communicate findings to technical and nontechnical audiences.

Pay and Benefits

Salary: USD 35 hourly
Perks:Commuter Benefits401k

Key Requirements

  • •Authorization to work in the U.S. without sponsorship.
  • •Currently pursuing a Bachelor’s degree with an expected graduation date of Spring 2028.
  • •Pursuing a degree in a quantitative field such as Mathematics, Statistics, Computer Science, Data Science, Engineering, Economics, Finance, or Financial Engineering.
  • •Coursework or experience in probability, statistics, econometrics, time-series analysis, optimization, machine learning, data science, or financial modeling.
  • •Experience with data analysis and at least one programming language or analytical tool (Python, R, SQL, or comparable).
Education:Bachelor's
Skills:Analytical reasoningAttention to detailCommunicationCollaborationProblem-solving
Tech Stack:PythonRSQLMachine learningArtificial intelligenceData visualizationsData scienceFinancial modelingTime-series analysisEconometrics

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

Fannie Mae
Fannie Mae is a government-sponsored enterprise that provides liquidity, stability, and affordability to the U.S. mortgage market by guaranteeing and purchasing residential mortgage loans and mortgage-backed securities.
Industry: Lending
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Government & Public Sector
Valuation: Public Company (Market Cap in USD)
Funding: Government Funded
Headquarters: Washington, United States
Founded: 1938
WebsiteLinkedIn