Model Risk Quant Analytics Manager

Location:

Model Risk Quant Analytics Manager

We are seeking a skilled and forward-thinking Model Risk Quant Analytics Manager to lead validation efforts across market risk, IRRBB, and liquidity models for one of the top 25 derivatives banks. This role plays a key part in strengthening the bank's risk framework and driving innovation through AI/ML. In today's environment of heightened rate volatility, inverted yield curves, and uncertain monetary policy, yield curve strategies are more critical than ever for managing interest rate risk and preserving bank profitability. The ability to accurately model customer behavior - such as deposit stickiness, loan prepayments, and product repricing - is increasingly complex and requires a robust model risk management framework.

Key Responsibilities:

• Market Risk & Derivatives Models: Validate models across trading desks, ensuring alignment with regulatory standards and internal risk frameworks. Focus on pricing accuracy for vanilla and exotic derivatives.

• IRRBB Modeling: Lead validation of IRRBB models, addressing volatility in interest rates and behavioral modeling complexities. Enhance model governance and scenario analysis.

• Liquidity Risk Models: Oversee validation of liquidity models used for stress testing and funding risk, ensuring resilience under adverse conditions.

• AI/ML Innovation: Explore and apply AI/ML techniques to develop challenger models and improve validation efficiency and model performance.

Qualifications:

• Deep expertise in market risk, stochastic modeling, and IRRBB frameworks

• Strong understanding of behavioral assumptions and hedging strategies

• Experience with platforms like Calypso, QRM, Bloomberg

• Proven ability to lead cross-functional teams and communicate complex concepts clearly

Required Qualifications:

• Master's degree in statistics, mathematics, economics, financial engineering, data sciences, predictive modeling, or other quantitative disciplines and at least 5 years of relevant experience; or Bachelor's degree in statistics, mathematics, economics, financial engineering, data sciences, predictive modeling, or other quantitative disciplines and at least 6 years of relevant experience

Join a team committed to advancing model risk management through innovation and rigorous analytics.

COMPENSATION AND BENEFITS

This position is eligible to earn a base salary in the range of $135,000 to $145,000 annually depending on location and job-related factors such as level of experience. Compensation for this role also includes eligibility for short-term incentive compensation and deferred incentive compensation subject to individual and company performance.

Please click here for a list of benefits for which this position is eligible.

Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing HR_Compliance@keybank.com.