Director of Supervision Analytics and Modeling

The Federal Reserve

Quick summary

Work type
On-site
Location
Atlanta, GA
Posted
2 days ago
Closes
Jul 31, 2026

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Salary context

How this pay compares to similar roles

Similar $206k
$154k most similar roles pay here $264k

This listing doesn't post a salary. Most similar roles pay $165,764–$246,150.

Based on 240 similar postings.

Employer

About The Federal Reserve

The Federal Reserve is the central bank of the United States—one of the world's most influential, trusted and prestigious financial organizations.

The Federal Reserve currently has 33 open roles on FindRole.

Listed pay typically runs $139,250–$185,200 across 24 roles with salary data.

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At a glance

TL;DR · Director of Supervision Analytics and Modeling

The Director of Supervision Analytics and Modeling at the Federal Reserve Bank of Atlanta leads a team of data scientists to develop advanced analytics, models, and tools that enhance operational efficiencies and improve financial sector risk identification. This role involves strategic direction, talent management, and fostering a culture of collaboration and innovation. The director drives the deployment of AI, machine learning, and augmented intelligence solutions while ensuring technical feasibility and quality control. Key responsibilities include resource allocation, cross-functional coordination, and stakeholder engagement to deliver high-quality products that meet diverse needs. Preferred skills encompass proficiency in statistical programming languages like R or Python, knowledge of financial economics, data management standards, and expertise in quantitative modeling methodologies. This position requires a strong background in data science, computer science, mathematics, or related fields with extensive experience and supervisory responsibilities.

What you'll do

  • Lead and develop a high-performing team of data scientists, providing strategic direction and fostering inclusive leadership.
  • Drive the deployment of AI, machine learning solutions to improve financial sector risk identification and operational efficiencies.
  • Balance competing demands across local Reserve Bank and System priorities while ensuring efficient resource utilization.
  • Serve as a bridge between technical execution and business strategy by collaborating with stakeholders to deliver high-quality products.
  • Provide recognized expertise on AI, ML topics through research, internal consultation, and external engagement at conferences.

What we're looking for

  • Bachelor's degree in data science, computer science, mathematics, or related field with 10+ years of experience.
  • Master’s or PhD in economics, mathematical finance, data science, or similar quantitative field with 7+ years of experience.
  • Proven leadership and supervisory experience managing a team of data scientists.
  • Expertise in artificial intelligence, machine learning, and advanced analytics methodologies.
  • Strong technical skills including proficiency in statistical programming languages like R or Python.
  • Experience in developing and deploying models for financial sector risk identification.
  • Demonstrated ability to balance strategic priorities and manage cross-functional resources.

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