The Federal Reserve Bank of Minneapolis is looking to introduce graduate students to the use of data science in the Banking Supervision function, addressing the need for highly analytical and quantitative individuals to oversee large and complex financial institutions.
Requirements
- Knowledge of query languages such as SQL.
- Demonstrated experience with R or Python.
- Knowledge of R Shiny dashboard building and reporting experience using R Markdown.
- Knowledge of collaborative version control platforms such as GitLab.
- Knowledge of Data Visualization.
Responsibilities
- Learn to manage, manipulate, interpret, and analyze trends in large sets of data and methodology documents.
- Enhance knowledge in programming and the software development life cycle.
- Handle and summarize large amounts of macroeconomic and banking data.
- Become familiar with different metrics and measures that are used to evaluate the health of the banking system.
- Synthesize information and glean insights related to banking conditions around the country.
- Present technical issues to non-technical audiences and clearly articulate findings in verbal and written form.
- Utilize advanced statistical techniques to analyze conditions in the banking sector, or across various industries or communities.
Other
- Currently enrolled and actively pursuing a graduate degree in a quantitative field such as (but not limited to) Computer Science, Data Science, Economics, Engineering, Finance, Mathematics, Physics, Statistics, etc.
- Strong academic record in MS or Ph.D. program.
- Ability to work collaboratively within a team.
- Meet Protected Individual requirement.
- Able to work 40 hours per week throughout the duration of the 12-week internship program, starting in June 2026.
