Remote Quant Analytics Manager, Bank Model Risk

Socket.dev; United States; On-site; USD 195,000 - 280,000; Full time

Benefits offered by this job

Health coverage

Equity via ESPP

Tech/health stipends

Remote-first

Job summary

Affirm, a remote-first company, seeks a senior professional to join the Bank Model Risk Management (MRM) team. You will validate credit/fraud models, develop automated monitoring in Python, and collaborate with audit and compliance to ensure robust, compliant solutions for bank-owned models.

The role emphasizes analytical rigor, cross-functional partnership, and applying ML and traditional statistics to mitigate model risk in a fast-growing environment.

Qualifications

• 7+ years of professional experience in highly technical capacity (credit/fraud risk modeling, model validation, or quantitative analytics).
• Deep understanding of consumer credit lifecycle and/or fraud detection.
• Strong Python (pandas, scikit-learn, statsmodels) for modeling and backtesting.

Responsibilities

• Full-Stack Model Validation of credit/fraud models, focusing on conceptual soundness and data integrity.
• Develop automated monitoring (KRI/KPI drift, PSI) in Python.
• Remediate findings with 1st-line model developers to ensure robustness and compliance.
• Collaborate with Internal Audit, Internal Controls, and Compliance on regulatory requests.
• Support Affirm Bank's model validation requirements for bank-owned models.

Skills

Python (pandas, scikit-learn, statsmot

SQL

Model validation

Analytical thinking

Job description

Affirm, a remote-first company, seeks a senior professional to join the Bank Model Risk Management (MRM) team. You will validate credit/fraud models, develop automated monitoring in Python, and collaborate with audit and compliance to ensure robust, compliant solutions for bank-owned models.

The role emphasizes analytical rigor, cross-functional partnership, and applying ML and traditional statistics to mitigate model risk in a fast-growing environment.