Senior Quantitative Analyst, Data & Risk Analytics

Federal Reserve Bank of New York

Philadelphia (Philadelphia County)

On-site

USD 120,000 - 180,000

Full time

7 days ago
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Benefits offered by this job

Medical benefits
401k/Thrift Plan
Pension Plan
Paid Vacation/Sick Time & Holidays
Tuition Reimbursement
Parental Leave
Onsite Fitness Center
Onsite Cafeteria
Commuter benefits

Job summary

The Federal Reserve Bank of Philadelphia is seeking a quantitative analyst to support the RADAR Data Warehouse data lifecycle management and analytics. You will act as a data SME and collaborate with partners to ensure high-quality data for researchers across the Federal Reserve System.

Candidates should have strong experience with econometric tools (R, Python), SQL/Tableau, and cloud platforms like AWS; knowledge of Databricks, Collibra, or Starburst is a plus. An advanced degree is preferred.

Qualifications

  • Bachelor’s or higher in business or quantitative fields; advanced degree preferred.
  • Minimum five years of experience in banking, bank supervision, or a finance-related field for higher grade.
  • Experience with econometric software (R, Python) and SQL or Tableau.
  • Familiarity with Databricks, Collibra, Starburst, and AWS cloud platforms is a plus.
  • Experience with large databases and consumer credit/real estate data is a plus.

Responsibilities

  • Serve as data SME and manage data through its lifecycle.
  • Collaborate with technical partners, data vendors, and stakeholders to deliver high-quality data.
  • Apply AI to enhance data management and analytics.

Skills

R
Python
SQL
Tableau
Databricks
Collibra
Starburst
AWS
AI knowledge

Education

Bachelor's degree in business or quantitative disciplines
Advanced degree preferred

Tools

Databricks
Collibra
Starburst
AWS

Job description

The Federal Reserve Bank of Philadelphia is seeking a quantitative analyst to support the RADAR Data Warehouse data lifecycle management and analytics. You will act as a data SME and collaborate with partners to ensure high-quality data for researchers across the Federal Reserve System.

Candidates should have strong experience with econometric tools (R, Python), SQL/Tableau, and cloud platforms like AWS; knowledge of Databricks, Collibra, or Starburst is a plus. An advanced degree is preferred.

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