Senior AI/ML scientist in Computational Toxicology driving advanced AI/ML solutions for safer drug discovery and regulatory methodologies.
About the role
- Data Scientist/Senior Data Scientist overseeing evaluation of quantitative risk management practices at Federal Reserve Bank. Engaging in reviews, analyses, and internal consulting within the organization.
Responsibilities
- Lead and participate in on- and off-site reviews of development, use, and validation of models
- Participate in Federal Reserve System reviews of regulated firms’ capital adequacy and conduct additional quantitative analysis
- Serve as an internal consultant to examination staff, department officers, and Reserve Bank management
- Participate in examinations, inspections, and analyze complex BHCs’ use of quantitative techniques
- Develop and recommend appropriate supervisory actions to ensure sound risk management practices
Requirements
- Bachelor's Degree; Master's Degree preferred
- Two to Five years of experience in quantitative skills
- Knowledge of statistical methods/tools for developing and validating risk management and capital stress models
- Proficient with at least one statistical/mathematical programming language (such as SAS, R, MATLAB)
- Project Management Skills
Benefits
- Onsite work is an essential function of this position
- Flexibility to balance the demands of work and life
- Opportunity for personal growth
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Location requirements
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