Senior Quantitative Model Risk Analyst

Flagstar Bank; Hicksville (NY); On-site; USD 75,000 - 132,000; Full time

Job summary

Flagstar Bank in Hicksville, NY seeks a Sr Quantitative Model Risk Analyst to lead independent validations of complex and high-impact models across business units. You will assess model design, development documentation, underlying code, data integrity, and performance metrics.

Requires a Master’s degree or postgraduate equivalent and 6+ years in financial risk/model risk management, with strong skills in statistics, stress testing, and MS Office.

Qualifications

• Master's degree or postgraduate equivalent in economics, computational finance, statistics, applied mathematics, or related field.
• Minimum 6+ years of experience in a financial institution focusing on risk management/model risk management (AML/BSA knowledge helpful).
• Strong knowledge of stress testing, statistics, and financial risk modeling; ability to produce charts/graphs in Excel.

Responsibilities

• Perform independent validation activities for a portfolio of complex, high-impact models across business units.
• Critically evaluate model design, development processes, performance monitoring, and outcomes analysis.
• Review model documentation, input data quality, processing logic, and output integrity; challenge model code where needed.

Skills

Stress testing

Statistics

Financial risk modeling

Analytical thinking

Communication

Project management

Regulatory knowledge

Education

Master's degree in Economics

Postgraduate in Computational Finance / Statistics / Applied Mathematics

Tools

MS Office (Excel, Word, PowerPoint)

Job description

Flagstar Bank in Hicksville, NY seeks a Sr Quantitative Model Risk Analyst to lead independent validations of complex and high-impact models across business units. You will assess model design, development documentation, underlying code, data integrity, and performance metrics.

Requires a Master’s degree or postgraduate equivalent and 6+ years in financial risk/model risk management, with strong skills in statistics, stress testing, and MS Office.