Federal Reserve Bank of Philadelphia · 12 hours ago
Summer Intern, Supervision Regulation & Credit, Credit Lending Research
The Federal Reserve Bank of Philadelphia is seeking a graduate or advanced undergraduate student with preferred majors in quantitative fields. The intern will complete a research project that studies how machine-learning, data mining, and Gen-AI analytical tools can support modeling of retail loan credit risk.
Financial Services
Responsibilities
The intern will complete a research project that studies how machine-learning, data mining, and Gen-AI analytical tools can support modeling of retail loan credit risk
More specifically, the intern will use these and other tools to test how delinquency and default in retail portfolios (such as credit cards, auto loans, or mortgage loans) are impacted by risk factors, such as borrower characteristics, loan characteristics, or the macroeconomic environment
The intern will be encouraged to explore non-linear relations and interactions identified by the models
Qualification
Required
A rising junior or senior undergraduate, or master's student pursuing a degree related to applied mathematics, statistics, economics, finance, or computer science
Experience with statistical/programming software (experience with R or Python is preferred)
Strong presentation and communication skills
Preferred
Strong technical writing skills
Verbal and written communication skills
Strong problem-solving skills
Attention to detail
Organizational skills
Ability to work well independently with little supervision
Company
Federal Reserve Bank of Philadelphia
The Federal Reserve Bank of Philadelphia helps formulate and implement monetary policy, supervises banks and bank holding companies, and provides financial services to depository institutions and the federal government.