Senior Manager, Underwriting & Credit Model Risk (ML) - Remote

Affirm; United States; Remote; USD 141,000 - 183,000; Full time

Benefits offered by this job

Health coverage at no cost for you and

ESPP stock purchase plan

Job summary

Affirm is seeking a senior leader to oversee the underwriting and credit risk validation for machine learning models. This role combines hands-on model validation with team leadership, shaping robust risk frameworks across the organization.

You will guide cross-functional collaboration, ensure data integrity, and monitor model performance while mentoring a high‑performing quantitative team in a remote Canada setting.

Qualifications

• 9+ years of professional experience in a highly technical role such as model development, validation, or quantitative analytics.
• Deep understanding of machine learning modeling, underwriting, and credit risk management.
• Proficiency in Python and SQL for manipulating and analyzing large datasets.
• Leadership experience hiring, managing, and mentoring quantitative teams.
• BS/MS/PhD in Statistics, Quantitative Finance, Mathematics, or Data Science.
• Strong analytical mindset and communication skills.
• Ability to translate complex technical concepts to diverse audiences.

Responsibilities

• Lead, mentor, and manage the underwriting and credit risk validation sector.
• Perform hands-on, independent validations of sophisticated ML models.
• Evaluate model concepts, data integrity, and performance stability.
• Identify model weaknesses and coordinate remediation with owners and developers.
• Enhance the enterprise-wide Model Risk Management framework with cross-functional collaboration.
• Coordinate with Accounting, Internal Controls, and Compliance to meet standards and regulatory expectations.

Skills

Machine learning modeling

Underwriting & credit risk

Python

SQL

Leadership

Communication

Education

Quantitative degree

Job description

Affirm is seeking a senior leader to oversee the underwriting and credit risk validation for machine learning models. This role combines hands-on model validation with team leadership, shaping robust risk frameworks across the organization.

You will guide cross-functional collaboration, ensure data integrity, and monitor model performance while mentoring a high‑performing quantitative team in a remote Canada setting.