Under general supervision, leads and participates in on
and off-site reviews of the development, use and validation of models, related quantitative risk management practices and governance
Contributes to building perspectives on industry modeling approaches for a variety of business problems
Actively participates in Federal Reserve System reviews of regulated firms’ capital adequacy (e.g. CCAR, DFAST, stress testing)
Conduct additional quantitative analysis related to capital adequacy processes of large BHCs
Serves as an internal consultant to examination staff, Department officers, and Reserve Bank management
Assists with model risks and model risk management frameworks at large banks and BHCs to determine compliance with supervisory expectations
Review and evaluate advanced risk management systems and quantification methodologies
Develops and recommends appropriate supervisory actions to ensure sound risk management practices
Prepares clear and concise written summaries, workpapers, supervisory documents, as well as coordinates and leads meetings

Bachelor's Degree; Master's Degree preferred
Two years to Five years
Quantitative skills and knowledge of statistical methods/tools for developing and validating risk management and capital stress models
Project Management Skills
Comprehensive Modeling
Proficient with at least one widely used statistical or mathematical programming language (such as SAS, R, MATLAB, etc.) preferred

Onsite Work Expectation: The Bank believes in flexibility to balance the demands of work and life while also recognizing the necessity of connecting and collaborating with our colleagues in person

Data Scientist, Atlanta / Miami

Key skills