Senior Quant Analytics Manager – Bank Model Governance (Remote)

Affirm; Chicago (IL); On-site; USD 195,000 - 255,000; Full time

Benefits offered by this job

100% subsidized medical coverage

Flexible Spending Wallets

Time off and holidays

Employee stock purchase plan (ESPP)

Job summary

Affirm is a remote-first company reinventing credit to offer flexible, affordable payment options without hidden fees or compounding interest. We seek an experienced professional to join the Bank Model Risk Management team and build a robust validation framework for credit and fraud models.

You will conduct validations on complex models, develop automated monitoring in Python, and collaborate with model developers, Internal Audit, and Compliance to ensure rigorous, compliant risk management

Qualifications

• 7+ years in technical roles such as credit/fraud risk modeling or model validation.
• Deep understanding of the consumer credit lifecycle and/or fraud detection.
• Expert in loss forecasting, fraud prediction, and stress-testing frameworks.
• Proficient in Python for replicative modeling and backtesting.
• Strong SQL skills for large-scale data wrangling and lineage audits.
• Natural problem-solver with attention to detail and strong analytical mindset.
• Excellent communication and ability to translate complex ideas to all audiences.

Responsibilities

• Full-Stack Model Validation of credit/fraud models, including ML and traditional models.
• Develop automated Python monitoring for KRI/KPI drift, PSI, and feature importance shifts.
• Remediation and technical advisory with 1st-line model developers to ensure robustness.
• Audit and regulatory liaison to facilitate timely responses to requests.
• Support the Bank Model Risk Management function for bank-owned models.

Skills

Python (pandas, scikit-learn, statsops

Tools

SQL

Job description

Affirm is a remote-first company reinventing credit to offer flexible, affordable payment options without hidden fees or compounding interest. We seek an experienced professional to join the Bank Model Risk Management team and build a robust validation framework for credit and fraud models.

You will conduct validations on complex models, develop automated monitoring in Python, and collaborate with model developers, Internal Audit, and Compliance to ensure rigorous, compliant risk management