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 Senior Quantitative Model Risk Analyst to oversee enterprise-wide validation of high-impact models. You will assess design, data integrity, and performance metrics, then document findings and remediate issues.

The role requires a Master’s degree in a quantitative field and 6+ years in risk or model risk management, with strong statistics, programming, and communication abilities to engage with governance teams and stakeholders.

Qualifications

• Master's degree in Economics, Computational Finance, Statistics, Applied Mathematics, or related field.
• 6+ years experience at a financial institution in risk management and/or model risk management with AML focus.
• Knowledge of stress testing and banking regulations.
• Strong knowledge of statistics, mathematics and financial risk modeling.
• Ability to produce charts and graphs in Excel.

Responsibilities

• Performs independent validation activities for a portfolio of complex and high-impact models, evaluating conceptual soundness and design.
• Conducts in-depth technical assessments including model code replication or challenge and documentation review.
• Reviews sensitivity analysis and performs independent assessments.
• Authors comprehensive model validation reports with strategic recommendations for robust design and back testing.
• Documents validation discussions with stakeholders and guides remediation efforts.
• Supports enhancement and automation of model risk reporting frameworks.

Skills

Statistics

Mathematics

Financial risk modeling

Project management

Communication

Education

Master's Degree in Economics/Computational Finance/Statistics/Applied Mathematics

Tools

MS Office (Word, Excel, PowerPoint)

Job description

Flagstar Bank in Hicksville, NY seeks a Senior Quantitative Model Risk Analyst to oversee enterprise-wide validation of high-impact models. You will assess design, data integrity, and performance metrics, then document findings and remediate issues.

The role requires a Master’s degree in a quantitative field and 6+ years in risk or model risk management, with strong statistics, programming, and communication abilities to engage with governance teams and stakeholders.