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Data Scientist, U.S. Treasury Fiscal Projections

Federal Reserve Bank of St. Louis

New This Week
Data ScienceBankingMid-Level (3-5 yrs)HybridGovernment / Regulator

Apply data science to the highest-stakes fiscal decisions in the U.S. β€” forecasting the government's daily cash position and informing marketable borrowing requirements at the Federal Reserve.

AI β†’ FinanceTransition-Friendly

Location

St. Louis, MO

Posted

Mar 28, 2026

Insider Signals

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⚑Growing AI Team

Federal Reserve Bank of St. Louis is in the growing stage of its AI organization. Great time to join.

Company AI Context

AI Maturity

growing

Tech Stack

pythontime-series-analysisquantitative-modelingmachine-learningfiscal-forecastingsql

Join the Treasury Division's Forecasting and Cash Management Analytics Group at the Federal Reserve Bank of St.

## About the Role Join the Treasury Division's Forecasting and Cash Management Analytics Group at the Federal Reserve Bank of St. Louis. Provide analytical support through quantitative forecast models for the U.S. Treasury's Fiscal Projections System. Support estimation of the Government's daily cash position and determine marketable borrowing requirements. U.S. citizenship required. ## Responsibilities - Build quantitative forecast models for U.S. Treasury fiscal projections - Support estimation of the Government's daily cash position - Determine marketable borrowing requirements - Ensure debt stays within statutory limitations - Apply data science techniques to fiscal and financial modeling ## Requirements - Background in data science or quantitative modeling - Experience with time series analysis and forecasting - Proficiency in Python and statistical methods - Knowledge of fiscal/financial modeling - U.S. citizenship required

Skills & Technologies

pythontime-series-analysisquantitative-modelingmachine-learningfiscal-forecastingsql

Best Backgrounds

  • data science
  • statistics
  • quantitative analytics
  • applied mathematics

Related Titles to Explore

  • Data Scientist
  • Analytics Lead
  • Quantitative Analyst
  • Applied Statistician

Career Bridge Playbook

Beta

Career paths into this role

analyst
statistician
research analyst
quantitative analyst

Where this role leads

senior data scientist
ML engineer
head of analytics
chief data officer

Transition Difficulty

medium

Key Skill Gaps to Close

  • financial products knowledge
  • regulatory reporting
  • model validation

Skills used in this role

Technical

pythontime-series-analysisquantitative-modelingmachine-learningfiscal-forecastingsql

Domain

statistical-modelingpredictive-analyticscredit-riskfraud-detection

Soft Skills

data-storytellingstakeholder-managementanalytical-thinking

Interested in this role?

Apply directly on the company's career page.

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