Quant Analytics Associate - Model Risk

KeyBank is hiring a Quantitative Analytics Associate within its Model Risk function. Under supervision, the role is responsible for the independent validation and review of the bank's various risk models, helping ensure models function properly, comply with regulatory requirements, and that associated risks are accurately identified, measured, and reported to senior management.

The associate performs in-depth validations and reviews of new and existing models used across the bank, including those for Fraud Risk, Compliance Risk (such as AML and OFAC), Credit Risk (such as CECL), and Market/Treasury/Liquidity Risk. This is a hybrid position based in Cleveland, Ohio, offering broad exposure to the bank's model inventory within a second-line model risk team.

Qualifications

• Degree in a quantitative discipline (statistics, mathematics, economics, finance, or related)
• Experience or strong foundation in quantitative model validation or model development
• Knowledge of fraud, compliance (AML/OFAC), credit (CECL), and market/liquidity risk models
• Proficiency in statistical programming (Python, R, or SAS)
• Understanding of model risk regulatory requirements (e.g., SR 11-7) and strong documentation skills