Data Scientist, Oversight & Guidance - Division of Supervision & Regulation

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Minimum Education

Bachelor's degree or equivalent experience

Minimum Experience

3

Summary

Contributes to statistical and mathematical initiatives to predict future outcomes through the application of machine learning, natural language processing, and conceptual modeling. Uses existing algorithms to test hypotheses through careful and deliberate model design. Contributes to statistical analysis, modeling, and simulations that leads to actionable decisions.

Assists with the application of statistical methods to characterize uncertainty using large, complex datasets. Assists with using data mining techniques to optimize decisions that support Division strategic objectives. Transforms data into actionable information.

Duties And Responsibilities

• Assists with the collection and refining of data from multiple data sources. Gathers and transforms data from internal and external systems in a manner suitable for analysis.
• Works with large data sets to solve non-routine problems. Performs data analysis in support of ad-hoc and standing requests.
• Participates on analytical research projects as required. Uses statistical methodology, data manipulation, survey design, and research evaluation to support various projects.
• Uses analytic models and works with teams to integrate solutions.
• Assists with data studies and data discovery initiatives using existing and new data sources.
• Performs data quality tests to improve statistical inferences of variables across models.
• Visualizes and reports data findings using a variety of formats. Communicates findings through internal reports and executive summaries.
• Compiles, reviews, and assesses information from academic journals, market sources, and other reports to maintain state-of-the-art knowledge in data analysis techniques.

About The Role

Contributes to the organization's AI and data science initiatives by applying machine learning, natural language processing, and statistical modeling to business and research problems. The role is split between working on AI projects for Division leadership and serving on the Secretariat for the Supervision and Regulation (S&R) AI program.

Supports the development and evaluation of AI pilots — including retrieval-augmented generation (RAG) and agentic workflows — and helps translate business needs into feasible technical approaches. Assists in identifying and advising on potential AI use cases across the Division, working with senior S&R leaders and other stakeholders.

Transforms data into actionable information and helps advance the organization's AI capabilities.

Specific Tasks

• Supports analytic and AI pilot projects, including RAG systems, agentic workflows, and predictive/statistical models, coordinating with S&R leaders and stakeholders on design and testing.
• Serves on the Secretariat for the S&R AI program, helping coordinate program activities, track initiatives, and prepare materials for AI program governance and leadership.
• Helps evaluate potential AI use cases proposed by business stakeholders; assists in assessing feasibility, data readiness, and expected value, and documents recommendations for review by S&R leadership.
• Uses AI-assisted development tools (e.g., Claude Code, Codex, Cursor) to accelerate coding, debugging, and analysis tasks, while following code quality, security, and compliance standards.
• Assists with prompt design, context engineering, and basic tuning of LLM-based tools to improve reliability and accuracy for specific use cases.
• Performs data quality tests and helps improve statistical inferences of variables across models.
• Visualizes and reports data and pilot findings using a variety of formats; communicates results through internal reports and summaries for both technical and non-technical audiences.
• Compiles and reviews information from academic journals, vendor material, and industry sources to stay current on data science and AI techniques (e.g., RAG, agentic AI, LLM tooling), and shares relevant findings with the team.
• Participates in cross-functional discussions with business and technical stakeholders to support the translation of business problems into technical solutions.
• Assists with the collection, refining, and transformation of data from internal and external systems in a manner suitable for analysis and model development.

Qualifications

FR-24:

Bachelor's degree and minimum of 3 years of relevant experience

Required Skills/Experience

• Demonstrated experience designing and building interactive dashboards or data applications (e.g., R Shiny, Python Dash or Streamlit) that translate complex analytical outputs into concise, decision-ready views for executive leadership.
• Demonstrated experience deploying data applications via Posit Connect or ShinyProxy, including implementing role-based access controls to protect sensitive or confidential information.
• Demonstrated experience presenting machine learning or AI-generated outputs to non-technical decision makers, including clearly communicating model limitations, uncertainty, and appropriate use.
• Familiarity with financial institution supervision and regulation, such as supervisory or regulatory reporting data (e.g., FR Y-9C, Call Reports, FR Y-14), examination processes, or model risk management expectations, gained through work at a banking agency, financial institution, or related advisory role.
• Strong analytical and problem-solving skills with attention to detail and data accuracy.
• Good written and verbal communication skills; ability to explain technical findings to non-technical audiences.
• Ability to work collaboratively in a team environment, managing multiple tasks with general direction from management.
• Ability to maintain confidentiality and appropriately handle sensitive information.

Preferred Skills/Experience

• Experience applying data science or AI to supervisory or regulatory use cases (e.g., risk identification, monitoring, or analysis of examination materials).
• Experience handling confidential supervisory information (CSI) or similarly restricted data.

Notes

• This position requires an on-site presence in Washington, DC.

Job Type

Regular

Job Exempt

Yes

Relocation Provided:

Yes

Compensation Grade(s)

FR PAY GRADE 24

Pay

$96,700-$122,500

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