Lead data and AI strategy at McMillan Shakespeare, focused on data governance and enterprise analytics. Drive successful transformation with trusted data and advanced AI capabilities.
About the role
- Lead Data Scientist at Federal Reserve Bank of Atlanta. Conducting quantitative risk management analysis and participating in regulatory reviews of large BHCs.
Responsibilities
- 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
Requirements
- 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
Benefits
- 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
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Location requirements
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