FR 2052a Data Scientist Manager

Federal Reserve Bank of Philadelphia•Minneapolis, MN

15d•Onsite

About The Position

The Federal Reserve Bank of Minneapolis has an exciting opportunity for an experienced professional with either advanced data science skills or deep liquidity risk expertise. The successful candidate will manage the FR 2052a team of data scientists responsible for processing, analyzing, and monitoring liquidity data submitted by Large and Foreign Banking Organizations (LFBOs). This role is ideal for a data scientist looking to apply their skills to liquidity risk management or a liquidity risk specialist ready to lead a data-driven analytical team. The FR 2052a team works with the Complex Institution Monitoring Report, a critical regulatory dataset that provides quantitative information on assets, liabilities, funding activities, and contingent liabilities. This data supports the Federal Reserve's supervisory surveillance program and enables monitoring of liquidity risk profiles for institutions subject to Category I, II, III, or IV standards under Regulations YY and LL. The manager will oversee the team's work with very large and complex datasets, lead collaboration with System stakeholders including the FR 2052a team in New York, dedicated supervisory teams for LFBO firms, and staff at the Board of Governors. The individual will guide the team's analytical efforts, ensure high-quality reporting and data validation processes, and provide strategic direction for monitoring liquidity positions during both normal and stress periods. This position requires a regular on-site presence.

Requirements

Bachelor's degree in quantitative subjects such as computer science, statistics, mathematics, physics, or engineering OR in finance, economics, or related field with relevant quantitative background
Minimum 5 years of related experience in data science, financial analysis, or liquidity risk management
Experience with FR 2052a datasets and knowledge of translating the datasets into practical liquidity risk supervisory information OR strong data science background with ability to learn liquidity risk concepts
Proficiency in computational/statistical modeling, programming, and mathematics
In-depth understanding of financial institutions and markets
Demonstrated aptitude for supervising and managing technical staff
Project management skills with ability to manage complex procedures, tasks, and project workflows
Strong interpersonal and communication skills with ability to interact effectively with stakeholders across the Federal Reserve System
Proven ability to communicate expectations clearly and supervise staff in the effective performance of their duties
Ability to travel up to 20%, primarily to other Federal Reserve Bank locations; typical travel is expected to be 5-10%

Nice To Haves

Master's degree or PhD in quantitative field, finance, economics, or related field
Experience with open-source programming languages
Proficiency in R and knowledge of R-coding best practices
Prior experience in financial services supervision or regulatory reporting
Knowledge of liquidity risk management principles and regulatory frameworks (Regulations YY and LL)

Responsibilities

Manage and lead the FR 2052a data science team, including hiring, training, mentoring, and developing staff to accomplish team objectives and deploy resources effectively
Oversee data extraction, cleaning, and organization processes; lead the transformation of large-scale datasets from external to internal systems in a manner suitable for analysis
Serve as a subject matter expert on complex liquidity datasets; design, implement, and supervise data quality tests and validation processes
Design, maintain, and manage system databases, including ownership of data security protocols, provisioning of database access, and mapping and maintenance activities
Collaborate with various System stakeholders to implement database and information system enhancements; support vendor data governance initiatives
Lead process automation efforts by identifying opportunities, designing enhancements, and implementing automated solutions
Conduct and supervise analyses of complex technical and policy issues involving modeling, data analysis, and liquidity risk; recommend new approaches and strategies
Plan, execute, and close projects involving internal teams, supervisees, and external partners
Prepare and deliver clear, accurate, and concise communications both orally and in writing to Section/Project Teams, Division leadership, and external stakeholders
Present work at forums within and across Divisions to share knowledge and foster collaboration across the organization
Work cross-functionally with peers and colleagues at different levels across the Federal Reserve System to solve problems and improve quality and service
Manage multiple projects and work processes simultaneously in a timely and efficient manner
Perform other duties as assigned