Remote Bank Model Risk & Quant Analytics Lead

Affirm; Minneapolis (MN); On-site; USD 220,000 - 280,000; Full time

Benefits offered by this job

Equity rewards

100% subsidized medical coverage for你e

Monthly stipends for health, wellness,

Tech spending stipend

ESPP stock purchase plan

Job summary

Affirm is seeking an intelligent professional to join the Bank Model Risk Management team. You will validate credit/fraud models, develop Python-based monitoring, and partner with internal teams to ensure robust, compliant models.

We value deep knowledge of consumer credit or fraud, strong Python/SQL skills, and the ability to translate technical ideas for diverse audiences. Remote-first with optional office work across the country.

Qualifications

• 7+ years of experience in technical capacity (credit/fraud risk modeling, model validation, or quantitative analytics).
• Deep understanding of consumer credit lifecycle and/or fraud detection.
• Technical familiarity with loss forecasting/fraud prediction and stress-testing frameworks.
• Expert-level Python (pandas, scikit-learn, statsmodels) for replicative modeling and backtesting.
• Mastery of SQL for large-scale data wrangling and data lineage audits.
• Strong problem-solving, attention to detail, and curiosity about model performance.
• Excellent communication, able to translate complex ideas for any audience.

Responsibilities

• Full-Stack Model Validation of credit/fraud models with ML and traditional stats methods.
• Develop automated Python monitoring for KRI/KPI drift and PSI.
• Remediation & technical advisory with 1st-line model developers to ensure robustness.
• Audit & regulatory liaison to address audit and regulatory requests.
• Support internal Bank Model Risk Management function and validation needs for Bank-owned models.

Skills

Python (pandas, scikit-learn, statsops

SQL

Model validation

Credit/fraud risk modeling

Data analysis

Tools

Python tooling

SQL auditing

Job description

Affirm is seeking an intelligent professional to join the Bank Model Risk Management team. You will validate credit/fraud models, develop Python-based monitoring, and partner with internal teams to ensure robust, compliant models.

We value deep knowledge of consumer credit or fraud, strong Python/SQL skills, and the ability to translate technical ideas for diverse audiences. Remote-first with optional office work across the country.