Remote Quant Analytics Manager, Bank Model Validation

Affirm; Seattle (WA); On-site; USD 195,000 - 280,000; Full time

Benefits offered by this job

Remote-first

Health coverage

Equity rewards

Stipends for health

Job summary

Affirm is hiring for a Bank Model Risk Management-facing role focusing on validating credit/fraud models, building Python-based monitoring suites, and guiding remediation with developers. The role collaborates with Audit, Controls, and Compliance while supporting bank-owned model validation within a remote-first environment.

The position requires extensive technical/quantitative expertise with risk modeling and effective communication to explain complex ideas to diverse audiences.

Qualifications

• 7+ years of professional experience in technical capacity (Credit/Fraud/Financial Risk Modeling, Model Validation, or Quantitative Analytics).
• Deep understanding of the consumer credit lifecycle and/or fraud detection.
• Experience with loss forecasting, fraud prediction, and stress-testing frameworks.
• Proficiency in Python and SQL for modeling and data audits.
• Excellent communication and stakeholder management skills.

Responsibilities

• Conduct independent validations of credit/fraud models with focus on soundness and data integrity.
• Develop automated monitoring in Python to track drift and feature importance.
• Remediate findings with model developers to ensure robustness and compliance.
• Coordinate with Audit, Controls, and Compliance on regulatory requests.
• Support Bank Model Risk Management for bank-owned models.

Skills

Python

SQL

Model Validation

Financial Risk Modeling

Communication Skills

Tools

Pandas

scikit-learn

statsmodels

Job description

Affirm is hiring for a Bank Model Risk Management-facing role focusing on validating credit/fraud models, building Python-based monitoring suites, and guiding remediation with developers. The role collaborates with Audit, Controls, and Compliance while supporting bank-owned model validation within a remote-first environment.

The position requires extensive technical/quantitative expertise with risk modeling and effective communication to explain complex ideas to diverse audiences.