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Salary: USD 164,000 - 245,000 / annual
Affirm is reinventing credit to make it more honest and friendly, offering consumers flexible buy-now-pay-later options without hidden fees or compounding interest. The Risk & Analytics team drives crucial business decisions through experimentation and analytical frameworks, owning the entire analytical lifecycle from question to decision.
The POS Analytics team supports Affirm's most important growth and investment decisions by identifying expansion opportunities, optimizing consumer and merchant experiences, and directing resources to high-value initiatives. They own analytics end-to-end: goal setting, performance tracking, opportunity sizing, decision support, and experiment design.
As Analytics Lead, Full Stack, you will drive growth strategy for major platform partnerships, identify and size growth opportunities, shape product and investment decisions, and measure impact of key initiatives. You'll work closely with Strategic Partnerships, Product, Finance, Engineering, and Pricing teams, combining exceptional problem-solving with a general manager mindset and deep lending/payments expertise.
Key responsibilities include: owning the analytics portfolio for significant product/business areas with a business owner mindset; leading complex analyses balancing growth, credit performance, customer experience, and unit economics; translating findings into compelling narratives and business cases; tackling ambiguous problems through hypothesis-driven experimentation; leading through influence across functions without formal authority; building scalable data models, metrics, dashboards, and AI-assisted workflows; and mentoring analysts to raise organizational impact.
You should bring 6+ years in cross-functional analytical roles with demonstrated impact on significant decisions; strong understanding of consumer lending, credit economics, and portfolio performance; advanced SQL and Python skills including statistical analysis and A/B testing; exceptional communication across technical and non-technical audiences; demonstrated curiosity with hands-on AI tool experience (Cursor, Claude, etc.); ability to independently prioritize roadmaps and mentor; and a bachelor's degree in a quantitatively rigorous field (advanced degree a plus). A General Manager mindset, strong product and credit risk judgment, and track record of identifying high-impact opportunities are essential.
