Remote Quant Analytics Manager — Bank Model Governance

Affirm; Washington (District of Columbia); On-site; USD 195,000 - 280,000; Full time

Benefits offered by this job

Health coverage

ESPP

Remote-first

Job summary

Affirm is seeking an experienced professional to join our Bank Model Risk Management team. You will validate credit and fraud models, build automated monitoring, and partner across the organization to strengthen risk controls.

This role emphasizes Python and SQL, cross-functional collaboration, and communicating complex results to diverse audiences, within a remote-first environment that values thoughtful risk management and clear, actionable insights.

Qualifications

• 7+ years in a highly 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, distributed datasets and performing complex data lineage audits.

Responsibilities

• Full-Stack Model Validation: conduct validations of credit/fraud models including ML and traditional statistics.
• Advanced Quantitative Monitoring: develop automated monitoring suites in Python for drift, PSI, and feature shifts.
• Remediation & Technical Advisory: partner with 1st-line Model Developers to drive remediation of findings.
• Audit & Regulatory Liaison: collaborate with Internal Audit and Compliance to resolve requests.
• Bank Model Risk Management support: assist the bank-owned models and build out the function.

Skills

Python

SQL

Model Validation

Credit/Fraud Risk Modeling

Tools

pandas

scikit-learn

statsmodels

Job description

Affirm is seeking an experienced professional to join our Bank Model Risk Management team. You will validate credit and fraud models, build automated monitoring, and partner across the organization to strengthen risk controls.

This role emphasizes Python and SQL, cross-functional collaboration, and communicating complex results to diverse audiences, within a remote-first environment that values thoughtful risk management and clear, actionable insights.