Remote opportunity at
AffirmUnderwriting/Credit Model Risk Senior Manager - Machine Learning
Affirm is seeking a quantitative leader to direct the underwriting and credit risk validation sector within its Model Risk Management team. Affirm offers consumers predictable financial…
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About This Role
Affirm is seeking a quantitative leader to direct the underwriting and credit risk validation sector within its Model Risk Management team. Affirm offers consumers predictable financial services featuring transparent terms without hidden costs. In this remote position, the incoming professional will guide a group of quantitative experts while simultaneously performing hands-on technical assessments of advanced machine learning models. The role centers on evaluating model conceptual soundness, ensuring data integrity, spotting…
Job Description
Affirm is seeking a quantitative leader to direct the underwriting and credit risk validation sector within its Model Risk Management team. Affirm offers consumers predictable financial services featuring transparent terms without hidden costs. In this remote position, the incoming professional will guide a group of quantitative experts while simultaneously performing hands-on technical assessments of advanced machine learning models. The role centers on evaluating model conceptual soundness, ensuring data integrity, spotting vulnerabilities, and collaborating with cross-functional groups to refine the broader risk framework. It suits an experienced technical leader who can shift effortlessly between strategic guidance and direct execution of complex model validations. Qualified individuals will help maintain robust financial controls, coordinate with compliance departments, and support the organization's growth by managing vital risk domains. New personnel typically start at the lower end of the established salary bracket.
Responsibilities
- Direct the underwriting and credit risk validation sector and establish strategic priorities for the domain
- Lead, guide, and mentor a team of quantitative professionals
- Conduct independent, hands-on validations of sophisticated machine learning models used in credit risk and underwriting
- Review model stability, data integrity, and conceptual soundness through comprehensive monitoring and testing
- Detect model weaknesses and work with developers to resolve and track validation findings
- Collaborate with stakeholders to improve and implement the enterprise-wide Model Risk Management framework
- Coordinate alongside Compliance, Internal Controls, and Accounting to ensure regulatory and internal standards are met
Requirements
- 9 or more years of professional background in a technical field such as model validation, quantitative analytics, or model development
- Demonstrated expertise in credit risk management, underwriting, and machine learning modeling
- Advanced scripting capability in Python
- Proficiency in utilizing SQL for manipulating and analyzing complex, large-scale datasets
- Proven history of hiring, mentoring, and managing quantitative teams
Qualifications
- Bachelor of Science, Master of Science, or Doctor of Philosophy in a quantitative field such as Data Science, Mathematics, Quantitative Finance, or Statistics
Core Skills
Benefits
- 100 percent subsidized medical, dental, and vision coverage for employees and their dependents
- Monthly stipends intended for wellness, health choices, and technology setup
- Flexible time off combined with a generous holiday calendar
- Access to an employee stock purchase plan offering discounted company stock
- Equity rewards
Frequently Asked Questions
What is the remote policy for this role?
This is a remote-first position where employees can work from almost anywhere within the country of employment, though an in-person onboarding experience is required for new hires.
What is the salary range for this position?
For residents in CA, WA, NY, NJ, and CT, the annual base pay ranges from $255,000 to $315,000. For all other U.S. states, the annual base pay ranges from $227,000 to $287,000.
What level of experience is required?
Candidates must have at least 9 years of professional background in a technical capacity such as quantitative analytics, model development, or model validation.
Sample Interview Questions
AI-generated questions tailored to this specific role — a preview of the full practice set.