CompanyFederal Reserve Bank of Philadelphia
The Federal Reserve Bank of Philadelphia is seeking to fill a position in the Risk Assessment, Data Analysis and Research (RADAR) group of the Supervision, Regulation, and Credit (SRC) Department.
RADAR provides leadership and expertise to the Federal Reserve System (FRS) on the supervision and regulation of large banking organizations in retail credit risk and fixed income, with particular emphasis on quantitative risk analysis. As the FRS's premier source of data in consumer credit, real estate, and natural disaster resiliency, the RADAR Data Warehouse (DW) team collects and maintains an array of very large databases and makes them available to analysts and researchers within the FRS. These data include the regulatory FR Y-14M first lien mortgage, home equity and credit card data, as well as a wide range of data acquired from external data vendors, other regulatory agencies, and public data sources. As part of a larger strategic initiative around data acquisition, data management, and consumer credit research, the unit also conducts analysis using these databases.
We are looking for a well-trained and motivated quantitative analyst to support management of these data. In this role, you will serve as a data subject matter expert (SME) and play an integral role in managing data through its lifecycle. You will develop expertise about the data including how it is used in business processes, and you will work closely with technical partners, data vendors, and various FRS stakeholders to deliver high-quality data for use across the FRS. A key part of this role will be applying Artificial Intelligence (AI) to enhance our data management and analytics.
The job description below reflects the higher level of a dual grade job posting.
Candidates who possess a slightly lower level of experience, education or qualifications may also be considered.
The salary grade for this position is: 13/15. Final salary and offer will be determined by the applicant's background, experience and skills, as well as internal equity and alignment with market data.
Skills
- You must have a bachelor's degree in business or quantitative disciplines (such as economics, finance, data science, statistics); an advanced degree is preferred. A minimum of five years of experience in banking, bank supervision, or a finance-related field is required for the higher job grade.
- Experience in using econometric software (such as R, Python) and familiarity with SQL or other analytical tools (e.g. Tableau) is required. Experience with tools such as Databricks, Collibra, Starburst, and AWS cloud platforms is a plus.
- Experience in working with large databases and/or data infrastructure is highly preferred.
- Experience in working with consumer credit and real estate data is a plus.
- Strong verbal and written communications skills are highly preferred.
- Advanced knowledge of artificial intelligence, including generative AI and code assist is a plus.
To see full job description, click the link:
https://www.philadelphiafed.org/-/media/FRBP/Assets/Institutional/Careers/Job-Openings/quant-analyst-jd.pdf
We offer a great benefits package that features:- Medical (4 options), Prescription, Dental (3 options), and Vision Insurance with no waiting period
- 401k/Thrift Plan with generous employer match
- Employer-funded Pension Plan
- Paid Vacation/Sick Time & 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
- Tuition Reimbursement (undergraduate and graduate)
- Parental Leave
- Free onsite 24/7 Fitness Center including training classes, Peloton bikes and locker room / shower facilities
- Onsite Cafeteria & Coffee Shop
- Additional Convenience Benefits, Discounts and More...
Additional Information:The above statements are intended to describe the general nature, level of work and the requirements of this position. They are not intended to be an exhaustive list of all responsibilities associated with this position or the personnel so classified. While this job description is intended to be an accurate reflection of this position, management reserves the right to revise this or any job description at its discretion at any time.
By applying to this position, you agree you will be available to work on-site in a full-time capacity.
Full Time / Part TimeFull time
Regular / TemporaryRegular
Job Exempt (Yes / No)Yes
Job CategoryData Analytics Family Group
Work ShiftFirst (United States of America)
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