Analyst I

Summary

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. As an Analyst I, you will learn the fundamentals of consumer lending while executing scoped analytical tasks, leveraging advanced data analytics to optimize business strategies and monitor portfolio performance.

Responsibilities

• Leverage data analytics to uncover insights that help optimize product, risk, or growth strategies across geographies
• Assist in tracking performance metrics, user behavior, and macroeconomic trends that impact business outcomes, flagging risks and anomalies to senior team members
• Write clean, working SQL and Python to build scalable reporting and partner with Engineering to support the deployment of machine learning and risk models
• 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
• Support cross-functional discussions to ensure new product launches and market entries align with our operational capabilities and risk appetite
• Integrate AI tools (Cursor, Claude Code, copilots) into your daily workflows to accelerate data mining and routine tasks, holding the line on verifying outputs

Skills

• 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

Qualifications

Must Haves

• 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

Benefits

• Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending
• Benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents)
• Health care coverage - Affirm covers all premiums for all levels of coverage for you and your dependents
• Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses
• Time off - competitive vacation and holiday schedules allowing you to take time off to rest and recharge
• ESPP - An employee stock purchase plan enabling you to buy shares of Affirm at a discount