Senior Manager, Model Risk & Credit Analytics

Affirm; Washington (District of Columbia); Remote; USD 227,000 - 287,000; Full time

Benefits offered by this job

Health coverage

Flexible Spending Wallets

Time off

ESPP

Job summary

Affirm is seeking a senior leader for its Model Risk Management function. You will oversee underwriting and credit risk validation, mentoring a high-performing quantitative team while personally executing validations of complex machine learning models.

You will collaborate across Risk, Data Science, and Compliance to ensure robust model governance, data integrity, and regulatory readiness in a remote-first environment across the United States.

Qualifications

• 9+ years in a highly technical role (model development/validation).
• Deep understanding of ML modeling, underwriting, and credit risk.
• Strong Python and SQL skills and experience with large-scale data analysis.
• Proven leadership of quantitative teams and ability to mentor others.
• Advanced degree in a quantitative field (Statistics, Math, Data Science).

Responsibilities

• Oversee the underwriting and credit risk validation sector; lead and mentor a team of quantitative professionals.
• Perform hands-on validations of sophisticated machine learning models across underwriting and credit risk management.
• Evaluate model concepts, data integrity, and performance through testing and monitoring.
• Identify model weaknesses and drive remediation with model owners and developers.
• Enhance the enterprise Model Risk Management framework in collaboration with stakeholders.
• Coordinate with Accounting, Internal Controls, and Compliance to meet internal and regulatory standards.

Skills

Leadership & people management

Model risk validation

Python

SQL

Machine learning

Communication

Education

BS/MS/PhD in Statistics/Math/Data Science

Job description

Affirm is seeking a senior leader for its Model Risk Management function. You will oversee underwriting and credit risk validation, mentoring a high-performing quantitative team while personally executing validations of complex machine learning models.

You will collaborate across Risk, Data Science, and Compliance to ensure robust model governance, data integrity, and regulatory readiness in a remote-first environment across the United States.