What are the responsibilities and job description for the Intern, Quantitative Risk Analysis -RBOPS position at Federal Reserve Board?
Position Description
Minimum Education
Enrolled in an undergraduate or graduate degree program at an accredited university and returning to continue studies after the internship.
Minimum Experience
0
Summary
The Federal Reserve Board (Board) provides students opportunities for career success. The Board’s Internship program is designed to provide valuable work experience for undergraduate and graduate students considering careers including, but not limited to, economics, finance and accounting, information systems, and data analysis. The Board believes that by combining academic endeavors with project-related work experience, qualified and capable college students can gain the practical knowledge need in a competitive global job market. Internships are paid positions with salaries commensurate with credit hours; internships may be in-person, remote or hybrid, depending on the needs of the team. Employment in the Board’s internship program is granted to U.S. citizens. Applicants must be currently enrolled in an undergraduate or graduate degree program at an accredited university and returning to continue studies after the internship. Interns receive a syllabus or research project plan outlining their projects and goals for the internship. Interns are assigned a supervisor or mentor to guide them through their internship, and regular check-in meetings with their manager to manage performance expectations and assist with learning goals. Interns have access to a wide range of training programs and events for professional development purposes.
Qualifications
Position Requirements
The Quantitative Risk Analysis section is responsible for assessing quantitative risk methodologies developed by the financial sector, or the Reserve Banks, to measure and manage credit, liquidity, counterparty, and market risks, as well as value collateral. The program analyzes risks and contributes to policies and research related to the clearing and settling of payments, securities, financial derivatives, and other financial instruments. The program monitors and evaluates the quantitative risk management of financial market infrastructures (FMIs), financial institutions engaged in systemically important payment, clearing, and settlement (PCS) activities, and the Reserve Banks. The program contributes to quantitative risk research, particularly topics related to FMIs and systemically important PCS activities, and to systemic risk analysis.
Expected Projects
Competencies/Learning Objectives
Required Skills And Knowledge
CV and two reference letters.
A copy of an unofficial transcript may be requested.
Suggested Major/Minor: Economics, Finance, Computer Science, Data Science, Machine Learning
Keywords: finance, computer science, data science, statistics
Notes
Primary Location
DC-Washington
Employee Status
Temporary
Overtime Status
Non-exempt
Job Type
Internship
Relocation Provided
No
Compensation Grade Low
FH Pay Grade 20
Compensation Grade High
FH Pay Grade 22
Minimum Salary
$25.58
Maximum Salary
$39.42
Posting Date
Oct 1, 2025
Minimum Education
Enrolled in an undergraduate or graduate degree program at an accredited university and returning to continue studies after the internship.
Minimum Experience
0
Summary
The Federal Reserve Board (Board) provides students opportunities for career success. The Board’s Internship program is designed to provide valuable work experience for undergraduate and graduate students considering careers including, but not limited to, economics, finance and accounting, information systems, and data analysis. The Board believes that by combining academic endeavors with project-related work experience, qualified and capable college students can gain the practical knowledge need in a competitive global job market. Internships are paid positions with salaries commensurate with credit hours; internships may be in-person, remote or hybrid, depending on the needs of the team. Employment in the Board’s internship program is granted to U.S. citizens. Applicants must be currently enrolled in an undergraduate or graduate degree program at an accredited university and returning to continue studies after the internship. Interns receive a syllabus or research project plan outlining their projects and goals for the internship. Interns are assigned a supervisor or mentor to guide them through their internship, and regular check-in meetings with their manager to manage performance expectations and assist with learning goals. Interns have access to a wide range of training programs and events for professional development purposes.
Qualifications
Position Requirements
The Quantitative Risk Analysis section is responsible for assessing quantitative risk methodologies developed by the financial sector, or the Reserve Banks, to measure and manage credit, liquidity, counterparty, and market risks, as well as value collateral. The program analyzes risks and contributes to policies and research related to the clearing and settling of payments, securities, financial derivatives, and other financial instruments. The program monitors and evaluates the quantitative risk management of financial market infrastructures (FMIs), financial institutions engaged in systemically important payment, clearing, and settlement (PCS) activities, and the Reserve Banks. The program contributes to quantitative risk research, particularly topics related to FMIs and systemically important PCS activities, and to systemic risk analysis.
Expected Projects
- Deep Neural Networks vs. Nonlinear econometric models: a project to explore performances of Neural Networks against
Competencies/Learning Objectives
- Excel in data representation, manipulation, analysis
- Design, train, validate, test and tune Deep Learning and econometric models for empirical analysis to answer questions
Required Skills And Knowledge
- BSc or Graduate (Masters or PhD) student in Computer Science, Economics, Business, or any other engineering or science field
- Completed courses on Data Science, Econometrics, and Machine Learning
- Familiarity with Python and/or R
- Interest in economic and financial data and research
- Familiarity with data manipulation, model development, training, validation, and testing approaches
- Interest in economic and financial time series analysis and econometrics
- Experienced in working with time series data and conducting research in economics and econometrics
- Written scripts to design and develop Machine Learning and econometric models
- Completed at least one course on Data Science, Machine Learning, Econometrics, or Deep Learning or relevant classes
CV and two reference letters.
A copy of an unofficial transcript may be requested.
Suggested Major/Minor: Economics, Finance, Computer Science, Data Science, Machine Learning
Keywords: finance, computer science, data science, statistics
Notes
- US Citizenship is required for all Board internships and applicants must be current students, graduating from their program August 2026 or later. Proof of enrollment will be required.
- This internship must be completed in-person in Washington, DC.
- Candidates must be able to work at a minimum of 20 hours per week during the school year, 40 hours per week during the summer
- This internship duration shall not exceed 180 days from a candidate's start date.
Primary Location
DC-Washington
Employee Status
Temporary
Overtime Status
Non-exempt
Job Type
Internship
Relocation Provided
No
Compensation Grade Low
FH Pay Grade 20
Compensation Grade High
FH Pay Grade 22
Minimum Salary
$25.58
Maximum Salary
$39.42
Posting Date
Oct 1, 2025
Salary : $26 - $39