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Federal Reserve System Quantitative Fellowship Program (QFP) 2026 – A Two-Year Rotational Career Launch for Aspiring Quantitative Analysts in the United States

The Federal Reserve System Quantitative Fellowship Program (QFP) is a highly competitive, two-year rotational fellowship designed to develop early-career professionals and recent graduates into full-time quantitative analysts within the Federal Reserve System. Hosted under the Supervision and Regulation function of the Federal Reserve Bank of Minneapolis, the program offers a rare opportunity to work directly […]

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Funding
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Program location
Worldwide
Hybrid
Applicant profile
Master’s, PhD
Language: Not specified

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Accepted locations
Global
Education level
Master’s
PhD
Professional

Application materials

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Application requirements

Tasks and information you will complete in the application.

7 tasks
  • Master’s degree or PhD completed by July 2026
  • Degree in one of the following or related fields: Economics
  • Mathematics
  • Statistics
  • Engineering
  • Quantitative Finance
  • Data Science

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About the opportunity

The Federal Reserve System Quantitative Fellowship Program (QFP) is a highly competitive, two-year rotational fellowship designed to develop early-career professionals and recent graduates into full-time quantitative analysts within the Federal Reserve System. Hosted under the Supervision and Regulation function of the Federal Reserve Bank of Minneapolis, the program offers a rare opportunity to work directly […]

The Federal Reserve System Quantitative Fellowship Program (QFP) is a highly competitive, two-year rotational fellowship designed to develop early-career professionals and recent graduates into full-time quantitative analysts within the Federal Reserve System. Hosted under the Supervision and Regulation function of the Federal Reserve Bank of Minneapolis, the program offers a rare opportunity to work directly on critical financial stability issues affecting the United States economy.

The QFP is structured to provide deep technical training, cross-institutional exposure, and hands-on experience in real-world financial risk analysis, making it one of the most prestigious quantitative development programs in the public financial sector.

Overview of the Quantitative Fellowship Program (QFP)

The Quantitative Fellowship Program is a structured rotational program that spans two years, designed to build strong quantitative talent for long-term roles within the Federal Reserve System.

Fellows are placed across multiple Federal Reserve Bank locations and may also rotate through the Board of Governors in Washington, D.C. This multi-location design ensures participants gain a broad understanding of financial systems, regulatory frameworks, and analytical modeling practices.

Key Highlights of the Program

  • Duration: 2 years (rotational program)
  • Start Date: July 2026
  • Location: Multiple Federal Reserve Banks and Washington, D.C.
  • Outcome: Potential full-time quantitative analyst position after completion
  • Work Mode: On-site and hybrid rotations across Federal Reserve locations

The program is managed under the Federal Reserve Bank of Minneapolis, a key institution within the Federal Reserve System responsible for supporting financial stability and economic growth.

Purpose and Mission of the QFP

The primary mission of the QFP is to strengthen the Federal Reserve’s ability to evaluate and manage financial risks in the banking system. Fellows contribute directly to:

  • Assessing risks in major financial institutions
  • Enhancing stress-testing models
  • Supporting supervisory decision-making
  • Improving model validation and risk management frameworks
  • Ensuring stability in the U.S. financial system

Participants work closely with senior quantitative experts and regulatory professionals, gaining exposure to high-level decision-making processes that influence national economic stability.

Program Structure and Rotations

The QFP is built around a structured rotation model that balances local and cross-regional experience.

Rotation Breakdown

  • 50% of time at home-base Federal Reserve location
  • 50% of time at other Federal Reserve Banks or Board of Governors
  • Mix of remote and onsite assignments during away rotations

This structure allows fellows to gain:

  • Cross-firm analytical perspectives
  • Exposure to diverse financial institutions
  • Practical experience in regulatory modeling environments

Training and Professional Development Opportunities

The QFP offers extensive professional development opportunities designed to strengthen technical, analytical, and communication skills.

Internal Training Components

Fellows participate in:

  • Two annual QFP training symposiums
  • Systemwide quantitative forums
  • Mentorship from senior Federal Reserve experts
  • Rotation-based technical training sessions

External and Systemwide Learning Opportunities

Participants also gain access to major Federal Reserve and industry events, including:

  • Quant Skills Conference
  • Model Risk Management Forum
  • System Surveillance Conference
  • Trading Risk Management Conference
  • Data Science Workshops

Experiential Learning Opportunities

  • Annual Crunch-a-thon (data-driven problem-solving event)
  • Innovation roundtables
  • Specialized courses aligned with rotation assignments

This combination ensures fellows build both technical depth and leadership capacity.

Key Areas of Work in the QFP

Fellows engage in advanced quantitative and financial modeling tasks such as:

  • Stress test modeling of financial institutions
  • Portfolio risk analysis for large banks
  • Model risk management and validation
  • Statistical and mathematical modeling of financial systems
  • Data-driven evaluation of systemic risk

These responsibilities are critical to maintaining the safety and efficiency of the U.S. financial system.

Required Qualifications

Applicants must demonstrate strong academic and technical capability in quantitative disciplines.

Academic Requirements

  • Master’s degree or PhD completed by July 2026
  • Degree in one of the following or related fields:
    • Economics
    • Mathematics
    • Statistics
    • Engineering
    • Quantitative Finance
    • Data Science

Technical Skills Required

  • Strong programming experience in:
    • Python
    • R
    • Matlab
    • SAS
    • Stata
  • Ability to manage and analyze large datasets
  • Experience in building or validating statistical/mathematical models

Professional and Communication Skills

  • Strong analytical and critical thinking ability
  • Ability to communicate technical findings to non-technical audiences
  • Excellent written and verbal communication skills
  • Team collaboration and adaptability in dynamic environments
  • Willingness to travel during program rotations

Additional Requirement

Applicants must meet the “Protected Individual” requirement, which includes U.S. citizens, lawful permanent residents, or individuals eligible under U.S. federal legal definitions for access to confidential supervisory information.

Compensation, Location, and Mobility

  • Compensation varies based on home-base location
  • Preferred location is not guaranteed
  • Fellows may rotate across multiple cities, including:
    • Minneapolis, MN
    • Chicago, IL
    • Philadelphia, PA
    • Cleveland, OH
    • St. Louis, MO
    • Washington, D.C. (Board of Governors)

Application Timeline

  • Application Opens: Fall 2026
  • Program Start Date: July 2026
  • Deadline: Not explicitly fixed (rolling opening period expected once applications open)

Applicants are encouraged to apply early once the portal opens due to high competition.

Why the QFP Matters

The Quantitative Fellowship Program is more than a job opportunity—it is a structured pathway into one of the most influential financial institutions in the world. Fellows directly contribute to national financial stability while building careers in advanced quantitative analysis, risk modeling, and economic research.

Hosted by the Federal Reserve Bank of Minneapolis and integrated across the Federal Reserve System, the program represents a unique intersection of public service and advanced financial analytics.

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