Chief, Financial Stability Cyber and AI Solutions Lab (FS)
Federal Reserve Board
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Job summary
Federal Reserve Board in Washington, DC seeks a Chief of the Economic Section to lead an extensive program of current analysis, forecasting, and policy work. The role directs resources, budgets, and projects while representing the Board externally to public and private groups.
The position requires a PhD in economics or related field with at least four years of progressively responsible experience, including staff supervision and budget management, and a strong background in data science or AI
Qualifications
- Requires a PhD in economics, finance, or a related field.
- Minimum four (4) years of progressively responsible experience relevant to the section's field.
- Strong preference for candidates with computer science, data science, AI or quantum computing backgrounds.
Responsibilities
- Develops objectives and implements an extensive program of analysis and forecasting.
- Supervises staff, sets priorities, and manages performance and resources.
- Represents the Board with external groups in public and private sectors.
- Ensures budget, compliance with policies, and timely output.
Skills
Education
Tools
Job description
The Chief, Economic Section, manages section resources directed to implementing an extensive program of current analysis, policy analysis, forecasting, developmental research, database maintenance, and data production. The chief represents the Board or System with outside groups in the private and public sectors.
Phd
4
- Develops objectives for the section with guidance from a line officer. To achieve these objectives, formulates and implements an extensive program of current analysis, policy analysis, and forecasting, developmental research, development of applications programs, database maintenance, and data production. This involves preparation of a program budget annually and intra-year reviews.
- Supervises employees in the section: establishes priorities, assigns and directs work; reviews written output of section members; recruits, interviews, and selects candidates; provides opportunities for training and development; conducts performance appraisals; recommends career ladder adjustments and participates in salary adjustments; counsels and, when necessary, takes disciplinary action.
- Manages the section's information processing budget involving hardware, programming, and purchased machine resources.
- Ensures that quality and timeliness of the section's output meet division and Board requirements.
- Ensures compliance with Board policies and procedures, such as those for salary administration, EEO, procurement, and employee leave.
- Performs professional duties at Senior Economist or Senior Statistician level: provides technical advice and policy judgment to professional colleagues and senior management officials on research activities and results, analytical and quantitative methods, and publication of research findings.
- Represents the Board or System with outside groups in the private and public sectors.
The Division of Financial Stability (FS) identifies and assesses risks to financial stability and evaluates potential policy responses in support of the Board’s mandates. We undertake research, coordinate expertise from across the System, and engage with domestic and international counterparts to develop and implement policies. FS’s Cyber and AI Solutions Lab (CASL) serves as the Board's center of excellence for analyzing technological risks to financial stability, assessing how cyber capabilities, artificial intelligence, and quantum computing create both vulnerabilities and opportunities within financial markets and institutions. FS CASL also develops innovative applications of emerging technologies to advance understanding of financial stability issues and increase efficiency in the Division’s work. Through collaboration across the Federal Reserve System and other agencies, FS CASL conducts pioneering research on both the applications and implications of these technologies for the economy and financial markets, developing frameworks that equip policymakers with insights to maintain financial stability in an increasingly digital ecosystem.
The chief manages the FS CASL, a multidisciplinary team responsible for delivering high-impact research and analytical solutions at the intersection of artificial intelligence, cybersecurity, quantum computing, and financial stability. This work supports financial stability analysis and policy development across the organization. Reporting to the Deputy Associate Director, the chief develops objectives and manages resources to execute an extensive program of financial stability research and analysis, as well as tools to drive adoption of AI methods throughout the Division. The role coordinates with other units within the Division and collaborates across other divisions at the Federal Reserve Board and System on policy, research, data, and technology initiatives.
- Implements, monitors, and manages the strategic direction of the section, focusing on the intersection of emerging technologies (cyber, AI, quantum computing) and financial stability.
- Identifies novel risks and opportunities that inform the Board and its policy decisions.
- Formulates and implements an extensive program of analysis, development research, database maintenance, and data production.
- Develops annual objectives for the section with guidance from the line officer and participates in periodic division reviews of progress.
- Identifies key issues within the section’s purview and oversees research initiatives that produce high impact analysis and insights for the division and the Board.
- Serves as a member of the division’s management team, helping to identify future goals and objectives for the section and division.
- Requires a PhD in economics, finance, or a related field
- Minimum four (4) years of progressively responsible experience relevant to the section's field of responsibility, with at least 3 years directing staff, assessing performance, setting priorities, and allocating resources.
- We have a strong preference for candidates with extensive backgrounds in computer science, data science, artificial intelligence (AI), quantum computing, applied mathematics, or a combination of those fields, obtained either through relevant work experience or formal education/degrees. Technical expertise in these areas is highly valued given the section's focus on emerging technologies and their implications for financial stability.
DC-Washington
Regular
Exempt
Standard
Yes
FR PAY GRADE 31
FR PAY GRADE 31
$151,600.00
$298,200.00
Sep 8, 2026
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