Data Scientist

Federal Reserve Bank of St. Louis

St. Louis, Missouri, USA
Onsite
Quantitative risk management practices
Capital adequacy processes
Advanced risk management systems
The Federal Reserve Bank of St. Louis is seeking a Data Scientist to lead and participate in the review and validation of quantitative risk management practices at bank holding companies. The role involves conducting analyses related to capital adequacy and risk management frameworks, with a strong emphasis on collaboration and communication within the Federal Reserve System

Job Summary

  • Leads and participates in on- and off-site reviews of the development, use and validation of models, related quantitative risk management practices and governance at bank holding companies.
  • Contributes to building perspectives on industry modeling approaches for a variety of business problems and actively participates in Federal Reserve System reviews of regulated firms’ capital adequacy.
  • Serves as an internal consultant to examination staff, Department officers, and Reserve Bank management and assists in the execution of Bank supervision and regulatory policy.

Matching Summary

Match Score: 85

The Federal Reserve Bank of St. Louis is seeking a Data Scientist to lead and participate in the review and validation of quantitative risk management practices at bank holding companies. The role involves conducting analyses related to capital adequacy and risk management frameworks, with a strong emphasis on collaboration and communication within the Federal Reserve System.

Skills & Requirements

Must-have

  • quantitative risk management practices
  • capital adequacy processes
  • advanced risk management systems
  • model implementations across firms
  • quantitative analytics

Nice-to-have

  • internal consultant to examination staff
  • collaborate with supervisory personnel
  • monitors white papers, industry developments

Key Requirements

  • Bachelor's Degree; Master's Degree preferred
  • Two years to Five years experience
  • Proficient with at least one widely used statistical or mathematical programming language
  • Onsite work is an essential function

Work Rights

Not specified

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