Remote Quantitative Analytics Manager, Bank Model Risk

Affirm

Dallas (TX)

On-site

USD 195,000 - 255,000

Full time

14 days+

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Benefits offered by this job

Equity
Health coverage
ESPP
Monthly stipends

Job summary

Affirm is seeking an experienced Bank Model Risk Management professional to lead independent validations of sophisticated credit and fraud models, including ML approaches. You will build automated monitoring in Python, help remediate issues, and coordinate with audit and compliance teams to support regulatory requests.

Join Affirm’s remote-first environment and contribute to the Bank Model Risk Management function, supporting bank-owned models nationwide.

Qualifications

  • 7+ years of professional experience in technical risk/credit/fraud modeling, validation or analytics.
  • Deep understanding of consumer credit lifecycle or fraud detection.
  • Experience with loss forecasting, stress-testing frameworks.
  • Expert-level Python for modeling and backtesting.
  • Strong SQL skills for large datasets and data lineage audits.

Responsibilities

  • Perform independent validations of credit/fraud models with focus on soundness and data integrity.
  • Develop automated monitoring in Python to track drift and feature importance shifts.
  • Collaborate with model developers to remediate findings and ensure robustness.
  • Liaise with Internal Audit and Compliance to support regulatory requests.
  • Support the Bank Model Risk Management function and bank-owned models.

Skills

Credit/Fraud Modeling
Model Validation
Quantitative Analytics
Python
SQL
Communication Skills

Tools

Python (pandas)
Python (scikit-learn)
Python (statsmodels)
SQL

Job description

Affirm is seeking an experienced Bank Model Risk Management professional to lead independent validations of sophisticated credit and fraud models, including ML approaches. You will build automated monitoring in Python, help remediate issues, and coordinate with audit and compliance teams to support regulatory requests.

Join Affirm’s remote-first environment and contribute to the Bank Model Risk Management function, supporting bank-owned models nationwide.

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