Federal Reserve Bank of San Francisco · 22 hours ago
Summer Intern, Supervision Regulation & Credit, Supervisory & Lending Modeling
The Federal Reserve Bank of Philadelphia is seeking a PhD level or graduate student with preferred majors in Economics, Finance, Statistics, or Data Science. The role involves providing quantitative expertise in bank supervision and credit risk management, along with supporting the development of statistical models and AI enhancements.
BankingFinanceFinancial Services
Responsibilities
You will be working on the Supervisory & Lending Modeling (SLM) team which strives to provide quantitative expertise in bank supervision and credit risk management
You will support ongoing development and maintenance of supervisory risk early warning statistical models
You will work on Artificial Intelligence (AI) enhancements of existing models and assist the team with ongoing research projects in the areas of consumers finance, banking, and the Discount Window
Qualification
Required
A master's or PhD student pursuing a degree related to Economics, Finance, Statistics, or Data Science
Strong econometrics skills utilizing SAS, R, Python, or Stata
Previous economics research experience
Preferred
Verbal and written communication skills
Problem solving skills
Attention to detail is needed to make sure that the data work has been performed correctly
Organizational skills to annotate and document their work such that others can pick up where the project left off
Ability to work well independently with little supervision, the project manager will be available to assist
Strong presentation and communication skills to share what they have completed concisely and effectively
Company
Federal Reserve Bank of San Francisco
We are the Federal Reserve Bank of San Francisco—public servants with a mission to advance the nation’s monetary, financial, and payment systems to build a stronger economy for all Americans.
Funding
Current Stage
Late StageLeadership Team
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