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Graduate Internship – Data Science
Federal Reserve Board. Manage, manipulate, interpret, and analyze trends in large datasets and methodology documents .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data analysis and statistical techniques, with proficiency in programming languages such as R and Python. Capable of synthesizing complex banking data and presenting findings to diverse audiences while collaborating effectively within a team.
Highest-signal resume keywords
Data AnalysisStatistical TechniquesR ProgrammingPython ProgrammingSQL Knowledge
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ManipulationTrend AnalysisStatistical TechniquesProgrammingSoftware Development Life CycleMacroeconomic Data HandlingBanking Data AnalysisMetrics EvaluationInformation SynthesisTechnical Presentation
Soft Skills
CollaborationCommunicationMentorshipNetworkingArticulation
Industry Keywords
Banking SupervisionQuantitative FieldGraduate DegreeConfidential Supervisory InformationFOMC InformationProtected Individual Requirement
Tech Stack
Tools & technologiesPythonSDLCSQL
About the role
Key responsibilities & impact- Manage, manipulate, interpret, and analyze trends in large datasets and methodology documents
- Enhance knowledge of programming and the software development life cycle
- Handle and summarize macroeconomic and banking data
- Become familiar with metrics and measures used to evaluate banking-system health
- Synthesize information and glean insights related to banking conditions around the country
- Present technical issues to non-technical audiences and clearly articulate findings verbally and in writing
- Utilize advanced statistical techniques to analyze conditions in the banking sector and across industries or communities
- Participate in internal networking and mentorship opportunities with quantitative staff and leadership across the Federal Reserve System
- Work in an intellectually stimulating and collaborative environment supporting Banking Supervision
Requirements
What you’ll need- Currently enrolled and actively pursuing a graduate degree in a quantitative field such as Computer Science, Data Science, Economics, Engineering, Finance, Mathematics, Physics, or Statistics
- Strong academic record in an MS or Ph.D. program
- Knowledge of query languages such as SQL
- Demonstrated experience with R or Python
- Code samples will be requested from selected candidates
- Ability to work collaboratively within a team
- Meet Protected Individual requirement
- Able to work 40 hours per week throughout the 12-week internship program, starting in May 2027
- Access to confidential supervisory information and/or FOMC information is limited to U.S. citizens, lawful permanent residents, protected individuals under 8 U.S.C. § 1324b(a)(3), and certain other nonimmigrants
- Candidates who are not U.S. citizens must sign a declaration of intent to expeditiously become a U.S. citizen when eligible
- Not open to undergraduate students
Benefits
Comp & perks- On-the-job mentoring
- Professional development
- Internal networking and mentorship opportunities
- Meaningful public service and interaction with senior leaders
- No relocation assistance, housing, travel reimbursement, or sponsorship provided