Analyst

Summary

Affirm provides transparent, predictable payment solutions that help people pay over time. The Analyst I will perform scoped analytical work across the Risk & Analytics organization, using data, SQL, and Python to monitor performance, identify opportunities, support risk and product strategies, and inform business decisions.

Responsibilities

• **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 such as Cursor, Claude Code, and copilots into your daily workflows to accelerate data mining and routine tasks, while carefully verifying outputs

Skills

• 1–3 years of experience in an analytically driven role. Relevant internships or prior experience in consumer lending, fintech, or the 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 consumer lending, fintech, or the 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

• Health coverage at no cost: We cover 100% of premiums for employees and their dependents.
• Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you.
• Flexible time off and generous holiday calendars.
• Employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount.
• Remote-first company with flexibility built in; most roles can be done from almost anywhere within the country of employment.