Senior Quant Analytics Manager, Bank Model Governance

Affirm; Cleveland (OH); On-site; USD 195,000 - 280,000; Full time

Benefits offered by this job

Health insurance

ESPP (employee stock purchase)

Flexible Spending Wallets

Generous time off

Job summary

Affirm is seeking a seasoned professional to join the Bank Model Risk Management team. You will conduct end-to-end validations of credit and fraud models, leveraging Python to monitor KPI drift and PSI, and work with model developers to remediate findings while ensuring regulatory alignment.

You will partner with Audit, Controls, and Compliance to address requests, and contribute to the internal Bank Model Risk Management function for bank-owned models.

Qualifications

• 7+ years of professional experience in technical capacity such as credit/fraud/financial risk modeling, model validation, or quantitative analytics.
• Deep understanding of the consumer credit lifecycle and/or fraud detection.
• Technical familiarity with loss forecasting/fraud prediction and stress-testing frameworks.
• Expert-level proficiency in Python (pandas, scikit-learn, statsmodels) for replicative modeling and backtesting.
• Mastery of SQL for wrangling large-scale datasets and data lineage audits.

Responsibilities

• Full-stack model validation of credit/fraud models including ML and traditional statistical methods.
• Develop automated Python-based monitoring suites to track drift and feature importance shifts in real-time.
• Collaborate with model developers to remediate findings and ensure robust, compliant models.
• Interface with Audit, Internal Controls, and Compliance on regulatory requests.
• Support the Bank Model Risk Management function for bank-owned models.

Skills

Model risk management

Credit/fraud risk modeling

Quantitative analytics

Communication skills

Problem solving

Tools

Python

SQL

Job description

Affirm is seeking a seasoned professional to join the Bank Model Risk Management team. You will conduct end-to-end validations of credit and fraud models, leveraging Python to monitor KPI drift and PSI, and work with model developers to remediate findings while ensuring regulatory alignment.

You will partner with Audit, Controls, and Compliance to address requests, and contribute to the internal Bank Model Risk Management function for bank-owned models.