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.
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
Qualifications:
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%
Preferred Qualifications:
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)
Salary & Benefits:
The full salary range is $151,500 - $189,359 - $227,200. The expected starting salary range is $151,500 - $189,359. Salary offer will be based on qualifications/experience of the candidate, alignment with market data, the needs of the position, our total compensation package, and internal equity.
Our total rewards program offers benefits that are the best fit for you at every stage of your career:
Comprehensive healthcare options (Medical, Dental, and Vision)
401(k) match, and a fully-funded pension plan
Paid time off and holidays
Free public transportation passes
Annual educational assistance
On-site fitness facility
Professional development programs, training and conferences
And more…
The Minneapolis Fed is committed to fostering an environment where all employees are respected and valued. We provide equal employment opportunity to all persons and we work together to pursue an economy that works for all of us.
Additional Information:
This position requires access to confidential supervisory information (CSI) and/or Federal Open Market Committee (FOMC) information. Access to CSI and FOMC information is limited to U.S. citizens, lawful permanent residents, individuals who meet the definition of “protected individual” under 8 U.S.C. § 1324b(a)(3), and certain other nonimmigrants. Candidates who are not U.S. citizens must sign a declaration of intent to expeditiously become a U.S. citizen when eligible.
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Skills Required
- Bachelor's degree in quantitative field or finance/economics with quantitative background
- Minimum 5 years related experience in data science, financial analysis, or liquidity risk management
- Experience with FR 2052a datasets 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 to manage complex procedures, tasks, and workflows
- Strong interpersonal and communication skills for stakeholder interaction
- Proven ability to communicate expectations clearly and supervise staff performance
- Regular on-site presence required
- Ability to travel up to 20% (typical 5-10%)
- Access to confidential supervisory information (CSI) and/or FOMC information; eligibility limited to U.S. citizens, lawful permanent residents, protected individuals, and certain nonimmigrants
- 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)
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