Financial Data Analyst – Risk & Regulatory Analytics

Financial Services, Department of; New York (NY); On-site; USD 85,000 - 120,000; Full time

Job summary

New York State Department of Financial Services is seeking a Financial Data Analyst to support oversight of supervised financial entities through quantitative analysis, risk assessment, and regulatory review. The role is based in Albany or New York City and reports to the Entity Risk Management Unit, offering a permanent, full-time position.

The ideal candidate will have 3+ years in financial data analysis, a quantitative degree, and proficiency with Python, R, SAS, or SQL to develop analytical

Qualifications

• At least three years of experience in financial data analysis, risk analytics, economic analysis, or related field.
• Bachelor's degree or higher in Finance, Economics, Statistics, Mathematics, Computer Science, or related quantitative discipline.
• Experience with programming or statistical analysis tools such as Python, R, SAS, or SQL.
• Strong analytical, quantitative, and problem-solving skills.
• Strong written communication skills for reports and formal documentation.

Responsibilities

• Analyze financial data to support oversight of supervised financial entities.
• Develop analytical tools and dashboards for regulatory review.
• Support application reviews and communicate findings to senior management and regulators.

Skills

Financial data analysis

Risk analytics

Economic analysis

Quantitative analysis

Education

Bachelor's degree or higher in Finance, Economics, Statistics, Mathematics, Computer Science, or related quantitative discipline

Tools

Python

R

SAS

SQL

Job description

New York State Department of Financial Services is seeking a Financial Data Analyst to support oversight of supervised financial entities through quantitative analysis, risk assessment, and regulatory review. The role is based in Albany or New York City and reports to the Entity Risk Management Unit, offering a permanent, full-time position.

The ideal candidate will have 3+ years in financial data analysis, a quantitative degree, and proficiency with Python, R, SAS, or SQL to develop analytical