Quantitative Analyst III/Senior Quantitative Analyst
About The Position
The Federal Reserve Bank of Philadelphia is hiring a quantitative analyst for the Risk Assessment, Data Analysis and Research (RADAR) group in the Supervision, Regulation, and Credit Department. RADAR provides expertise to the Federal Reserve System on supervision and regulation of large banking organizations, focusing on retail credit risk, fixed income, and quantitative risk analysis. Its Data Warehouse team maintains large datasets related to consumer credit, real estate, and natural-disaster resiliency, including regulatory FR Y-14M mortgage, home equity, and credit card data, as well as information from external vendors, regulatory agencies, and public sources. The analyst will support data management, serve as a data subject matter expert, and help manage data throughout its lifecycle. The role involves developing expertise in how data is used in business processes and collaborating with technical partners, data vendors, and Federal Reserve System stakeholders to deliver high-quality data. The analyst will also apply artificial intelligence to enhance data management and analytics. This is a dual-grade posting (salary grades 13/15); candidates with somewhat less experience, education, or qualifications may also be considered. The role is onsite and full-time. Applicants must be eligible to access confidential supervisory or FOMC information and complete the required background screening.
Requirements
- Bachelor’s degree in business or a quantitative discipline, such as economics, finance, data science, or statistics.
- For the higher job grade, at least five years of experience in banking, bank supervision, or a finance-related field.
- Experience using econometric software such as R or Python.
- Familiarity with SQL or other analytical tools, such as Tableau.
- Ability to meet eligibility requirements for access to confidential supervisory information and/or FOMC information.
- Completion of required background investigation and screening.
- Availability to work onsite full-time.
Nice To Haves
- Advanced degree.
- Experience with Databricks, Collibra, Starburst, or AWS cloud platforms.
- Experience working with large databases and/or data infrastructure.
- Experience working with consumer credit and real estate data.
- Strong verbal and written communication skills.
- Advanced knowledge of artificial intelligence, including generative AI and code assist.
Responsibilities
- Support management of large data resources.
- Serve as a data subject matter expert and manage data throughout its lifecycle.
- Develop expertise in the data, including how it is used in business processes.
- Work with technical partners, data vendors, and Federal Reserve System stakeholders to deliver high-quality data.
- Apply artificial intelligence to enhance data management and analytics.
Benefits
- Medical, prescription, dental, and vision insurance with no waiting period.
- 401k/Thrift Plan with generous employer match.
- Employer-funded pension plan.
- Paid vacation, sick time, and holidays.
- Monthly $200 commuter allowance.
- Flexible spending accounts and healthcare spending accounts.
- Flexible work schedule available in most departments.
- Life insurance and long-term disability insurance.
- Undergraduate and graduate tuition reimbursement.
- Parental leave.
- Free onsite 24/7 fitness center, including training classes, Peloton bikes, and locker room/shower facilities.
- Onsite cafeteria and coffee shop.
- Additional convenience benefits and discounts.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
