Financial Data Analyst — Risk & Regulatory Insights

New York State Department of Financial Services; City of Albany (NY); On-site; USD 87,000 - 110,000; Full time

Job summary

The New York State Department of Financial Services seeks a data-driven professional to support enterprise risk management (ERM) and regulatory reviews in a fast-paced environment. You will analyze financial information, build dashboards, and prepare materials for executive management and external stakeholders, contributing to a transparent and resilient financial system.

Qualifications include 3+ years of financial data analysis, a related degree, and experience with Python, R, SAS, or SQL;

Qualifications

• At least three years of experience in financial data analysis, financial analysis, risk analytics, economic analysis, or a related field.
• Experience in applying statistical, mathematical, or quantitative analytical techniques to financial or economic data.
• Experience with programming or statistical analysis tools, including Python, R, SAS, SQL, or similar statistical software.
• Strong analytical, quantitative, organizational, and problem-solving skills.
• Strong written communication skills, including the ability to prepare concise, well-structured reports, memoranda, analytical summaries, and other formal documentation for internal and external audiences.

Responsibilities

• Conducts quantitative and financial data analysis to support entity risk assessments, regulatory reviews, and supervisory decision-making.
• Analyzes financial and economic information from internal and external sources and identify trends, anomalies, emerging risks, and areas requiring further review.
• Assists in the development and maintenance of dashboards, reports, analytical tools, and management information used by ERM and other business units.
• Supports a varied applications caseload, including risk tracking, and analysis of risk and control, and other applications submitted by supervised entities.
• Supports business units in conducting risk management reviews and preparing materials and presentations for executive management and external stakeholders.
• Assists the ERM supervisor with organizational, analytical, and strategic projects, including research, data analysis, reporting, and process improvements.
• Interacts with staff across Department business units and executive management regarding case-specific financial, risk, and regulatory matters.
• Participates in meetings with various Department units and provides analytical input and guidance on matters relevant to ERM.
• Conducts research on financial, economic, industry, and regulatory data, utilizing internal Department resources and external data sources.
• Prepares and presents research findings, financial analyses, and risk-related observations to the ERM supervisor and senior management.
• Monitors industry trends, emerging risks, analytical methodologies, and regulatory best practices relevant to supervised entities.
• Communicates effectively with senior and executive management, both internally and externally with regulated entities, through verbal briefings, written memoranda, analytical reports, and formal presentations.
• Follows established procedures and completes assigned work programs in accordance with Departmental policies, regulatory requirements, and supervisory standards.
• Manages multiple assignments and competing priorities while maintaining accuracy, quality, and adherence to established deadlines; and
• Performs other duties and special projects as assigned.

Skills

Financial data analysis

Risk analytics

Economic analysis

Statistical techniques

Education

Bachelor’s or advanced degree in Finance/Economics/Statistics/Data Science

Tools

Python

R

SAS

SQL

Job description

The New York State Department of Financial Services seeks a data-driven professional to support enterprise risk management (ERM) and regulatory reviews in a fast-paced environment. You will analyze financial information, build dashboards, and prepare materials for executive management and external stakeholders, contributing to a transparent and resilient financial system.

Qualifications include 3+ years of financial data analysis, a related degree, and experience with Python, R, SAS, or SQL;