Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest.

Come join us in our mission to change consumer finance through better data and technology, lower costs, and increased transparency while providing the best customer experience!

About the Risk & Analytics Team: The Risk & Analytics (R&A) team makes crucial decisions that direct Affirm’s business strategy. We partner with Machine Learning, Product, Engineering, Capital Markets, and Commercial teams to grow Affirm responsibly by optimizing approval, conversion, losses, and profitability.

Operating across the entire customer and merchant lifecycle, we tackle a diverse array of challenges from optimizing checkout conversion and mitigating fraud risk, to building scalable data foundations and enabling international growth. We analyze performance not just to report on it, but to determine where to invest resources for maximum impact through building tools, scalable data infrastructure, and analytical frameworks. We improve the analytics experience across Affirm by streamlining workflows and fostering a culture of learning and documentation. By taking ownership of the entire analytical lifecycle, from initial question to final business decision, we turn complex data and systems into clear, actionable signals that ensure Affirm grows efficiently and intelligently.

Our Teams (Where You Might Sit): Candidates hired into the R&A organization will be sorted into a core team based on business need and background. Our primary domains include:

• Point of Sale (POS): Optimize merchant and checkout performance to improve conversion, approvals, and unit economics across the purchase funnel.
• Direct to Consumer (DTC) / Card: Drive engagement, repeat usage, and lifecycle health across Affirm's app, web, and card experiences.
• Fraud: Prevent and reduce fraud losses across the customer journey while maintaining a frictionless user experience.
• Core Analytics: Build the quantitative research, machine learning models,  performance monitoring, and scalable data foundations that enable fast, economically sound decisions.
• Servicing: Enhance the post-origination customer experience by analyzing repayment behavior, collections strategies, and operational efficiency.
• International Expansion: Build the measurement and decision foundations needed to sustainably launch and scale Affirm in new global markets.

About the Role

As an Analyst I, you will learn the fundamentals of consumer lending while executing scoped analytical tasks on a day-to-day cadence. Working under the guidance of senior analysts and managers, you will leverage advanced data analytics to help optimize business strategies and monitor portfolio performance. You are a thoughtful, driven individual eager to build a strong technical foundation, learn how to navigate exogenous market changes, and integrate modern AI tooling to solve hard problems efficiently.

What You Will Do

• Derive Insights & Support Strategy: Leverage data analytics to uncover insights that help optimize product, risk, or growth strategies across geographies.
• Monitor Portfolio Health: Assist in tracking performance metrics, user behavior, and macroeconomic trends that impact business outcomes, flagging risks and anomalies to senior team members.
• Technical Execution: Write clean, working SQL and Python to build scalable reporting and partner with Engineering to support the deployment of machine learning and risk models.
• Cross-Functional Collaboration: Work closely with Product, Legal, and Compliance to understand evolving consumer lending regulations and market requirements, assisting in translating them into foundational data models and operational policies.
• Drive Launch Alignment: Support cross-functional discussions to ensure new product launches and market entries align with our operational capabilities and risk appetite.
• AI Fluency & Efficiency: Integrate AI tools (Cursor, Claude Code, copilots) into your daily workflows to accelerate data mining and routine tasks, holding the line on verifying outputs.

What We Look For

• 1–3 years of experience in an analytically-driven role; relevant internships or prior experience in the consumer lending, fintech, or broader financial services industry are highly valued.
• Degree in Data Science, Computer Science, Engineering, Economics, or a related quantitative field.
• Solid working knowledge of SQL, Python, or other scripting languages.
• Familiarity with data mining, data visualization, and foundational statistical modeling.
• Basic understanding of (or deep curiosity about) consumer lending regulations, fair lending principles, and how machine learning techniques apply to real-world business problems.
• Exceptional communication skills, humility, and the ability to collaborate effectively with cross-functional peers.

Pay Grade - I
Equity Grade - 5

Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. 

Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company).

USA base pay range (CA, WA, NY, NJ, CT) per year: $115,000 - $165,000
USA base pay range (all other U.S. states) per year: $101,000 - $151,000

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