S&R Director of Supervision Analytics and Modeling

Position Summary

The Director of Supervision Analytics and Modeling directs a team of data scientists to develop and implement leading edge models and tools designed to achieve operational efficiencies and improve financial sector risk identification for supervision.

Responsibilities

• Lead and develop a high-performing team of data scientists across diverse skill levels and specializations, providing direct supervision, strategic direction, and performance management while fostering a culture of accountability, collaboration, and measured risk-taking.
• Drive the strategic development and deployment of artificial intelligence, machine learning, and augmented intelligence solutions to achieve operational efficiencies, improve financial sector risk identification, and influence System-wide analytic tools and models.
• Exercise strong business judgment in resource allocation and strategic prioritization, balancing competing demands across local Reserve Bank and Federal Reserve System priorities while ensuring efficient utilization of departmental assets.
• Coordinate cross-functional resources and influence outcomes of analytic tools, risk identification frameworks, and operational models at both local and System levels.
• Provide recognized technical expertise and thought leadership on artificial intelligence, machine learning, and specialized analytics topics through research, internal consultation, and external engagement at conferences and training venues.

Requirements

• Education: Bachelor's degree in data science, computer science, mathematics, statistics, mathematical finance, operations research, economics or similar field focused on advanced quantitative modeling with a minimum of 10+ years of diverse professional work experience which may include 3+ years of supervisory responsibilities.
• OR Masters or PhD Degree in economics, mathematical finance, data science, computer science, mathematics, statistics, operations research or similar field focused on advanced quantitative modeling with a minimum of 7 years of diverse professional work experience which may include 1+ year(s) of supervisory responsibilities.
• Experience: Seven + years with Masters degree; Ten + years without.
• Knowledge Areas: Financial Economics, Bank Accounting, Data and General Architecture Principles, Maturity Models and Business Processes, Emerging Technologies, Strategic and Analytical skills, Quantitative skills, advanced degrees in STEM fields and knowledge of Statistical/econometric/AI/ML methods for developing models and tools.
• Technical Skills: General programming, Statistical analysis, Architecture Frameworks and Methodologies, Data Management Standards and Frameworks, Data Analytical & Business Intelligence Tools, Proficient with at least one widely used statistical or data science programming language (such as R or Python).
• Managerial Competencies: Communicates Effectively / Displays Interpersonal Savvy, Demonstrates Decision Quality, Develops and Engages Talent, Exhibits Courage, Reflects a Strategic Mindset, Values Differences, Ensures Accountability.

Qualifications

Full Time / Part Time
Full time Regular / Temporary Regular
Job Exempt (Yes / No): Yes
Job Category: Data Analytics
Family Group: Work
Shift: First (United States of America)