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Underwriting/Credit Model Risk Senior Manager - Machine Learning

Affirm· Internal Audit
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Hybrid (Remote US)$255k - $315kfull-timePosted 2mo ago

About the role

Senior leadership role overseeing the underwriting and credit risk validation sector within Affirm’s Model Risk Management team. Combines hands-on model validation of advanced ML models with people leadership, framework enhancement, and cross-functional collaboration to ensure robust, compliant credit risk models.

Responsibilities

  • Sector Leadership & Team Management: Oversee the underwriting and credit risk validation sector. Lead, mentor, and manage a team of talented quantitative professionals while setting the strategic direction for this critical risk domain.
  • Hands-On Model Validation: Execute rigorous, independent validations of sophisticated machine learning models across underwriting and credit risk management.
  • Technical Review: Evaluate conceptual soundness, data integrity, and performance stability through comprehensive testing, in-depth reviews, and continuous monitoring to ensure model accuracy.
  • Identification & Remediation: Detect critical model weaknesses and identify areas for improvement; collaborate with model owners and developers to track and resolve validation findings.
  • Framework Enhancement: Partner with cross-functional stakeholders to implement and refine the enterprise-wide Model Risk Management (MRM) framework, ensuring it remains robust and innovative.
  • Audit & Compliance: Coordinate with Accounting, Internal Controls, and Compliance teams to ensure all model activities meet or exceed internal standards and regulatory expectations.

Qualifications

  • 9+ years of professional experience in a highly technical role, such as model development, model validation, or quantitative analytics.
  • Deep understanding of machine learning modeling, underwriting, and credit risk management.
  • Advanced ability to script in Python and expertise in using SQL to manipulate and analyze large-scale, complex datasets.
  • Proven track record of hiring, managing, and mentoring quantitative teams. Ability to transition between high-level strategic oversight and detailed, hands-on technical work.
  • A BS, MS, or PhD in Statistics, Quantitative Finance, Mathematics, or Data Science.
  • Analytical mindset with meticulous attention to detail and strong problem-solving skills.
  • Exceptional interpersonal skills with the ability to distill complex technical concepts for diverse audiences.

Skills

Required:PythonSQL

Benefits

  • Health coverage at no cost for employees and dependents.
  • Monthly stipends for tech setup and health/wellness options.
  • Flexible time off and generous holiday calendars.
  • Employee stock purchase plan (ESPP) with stock purchase at a discount.
Last updated Sep 16, 2026. Interested? Apply on the company site.

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