Remote opportunity at
AffirmAnalytics Lead, Full Stack
Affirm is a financial technology company offering clear and predictable payment solutions with transparent terms and no hidden fees. The Risk and Analytics organization dictates enterprise…
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About This Role
Affirm is a financial technology company offering clear and predictable payment solutions with transparent terms and no hidden fees. The Risk and Analytics organization dictates enterprise strategy by designing tests, evaluating performance, and directing investments toward high-impact opportunities. As an Analytics Lead, Full Stack within the POS Analytics group, you will direct the growth strategy for major platform partners. This position centers on managing the analytics roadmap for a primary…
Job Description
Affirm is a financial technology company offering clear and predictable payment solutions with transparent terms and no hidden fees. The Risk and Analytics organization dictates enterprise strategy by designing tests, evaluating performance, and directing investments toward high-impact opportunities.
As an Analytics Lead, Full Stack within the POS Analytics group, you will direct the growth strategy for major platform partners. This position centers on managing the analytics roadmap for a primary business sector, assessing high-value prospects, shaping investment strategies, and tracking the results of critical projects. You will collaborate closely with Strategic Partnerships, Product, Finance, Engineering, and Pricing teams.
This opportunity fits analytical professionals who combine advanced technical capabilities with a general manager outlook. Success in this capacity involves balancing growth metrics, unit economics, and credit performance while translating complex data into clear narratives for leadership. The company operates as a remote-first organization across the United States, offering candidates flexibility combined with comprehensive total rewards.
Responsibilities
- Manage and set priorities for the analytics portfolio covering a major product or business area
- Conduct complex evaluations that weigh growth against credit performance, user experience, and unit economics
- Convert analytical findings into actionable business cases for senior leadership
- Design and execute experiments to test product-market fit and economic viability for ambiguous problems
- Drive consensus across Product, Engineering, Finance, and Revenue departments without formal authority
- Develop scalable data models, key performance indicators, dashboards, and AI-assisted workflows
- Mentor team members and establish reusable analytical tools and practices
Requirements
- Possess at least six years of professional experience in a cross-functional analytical role
- Demonstrate advanced proficiency in SQL and Python, including statistical analysis and A/B testing
- Show a strong background in consumer lending, credit metrics, and lending economics
- Exhibit experience using AI-assisted tools like Cursor or Claude to accelerate analytical workflows
- Demonstrate independent prioritization skills and the ability to manage multiple workstreams
Qualifications
- Hold a bachelor's degree in a quantitatively rigorous field or possess equivalent practical experience
- Hold an advanced degree
Core Skills
Benefits
- 100% subsidized medical coverage, dental, and vision for employees and dependents
- Monthly stipends for health, wellness, and technology expenses
- Equity rewards offered through Affirm Holdings, Inc
- Flexible time off and holiday schedules
- Employee stock purchase plan to acquire company stock at a discount
Frequently Asked Questions
Is this position remote?
Yes, Affirm operates as a remote-first company, allowing most roles to be performed from almost anywhere within the country of employment. New hires are invited to attend an in-person onboarding experience.
What is the salary range for this job?
For candidates based in California, Washington, New York, New Jersey, and Connecticut, the annual base pay range is $185,000 to $245,000. For all other U.S. states, the annual base pay range is $164,000 to $224,000.
What qualifications are required for the role?
Candidates must have at least six years of experience in a cross-functional analytical role, advanced SQL and Python skills, a strong understanding of consumer lending and credit economics, and a bachelor's degree in a quantitatively rigorous field or equivalent experience.
Sample Interview Questions
AI-generated questions tailored to this specific role — a preview of the full practice set.