Analyst I

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.

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 product, risk, or growth strategies across geographies. You will assist in tracking performance metrics, user behavior, and macroeconomic trends that impact business outcomes, flagging risks and anomalies to senior team members. You will write clean, working SQL and Python to build scalable reporting and partner with Engineering to support the deployment of machine learning and risk models. You will 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. You will support cross-functional discussions to ensure new product launches and market entries align with our operational capabilities and risk appetite. You will 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.
• 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.