At Affirm, we’re using today’s technology to bring significant disruptive innovation to the financial industry. We focus on improving the lives of consumers by delivering simple, honest and transparent financial products.

We have roles across a variety of teams, including engineering, product, finance, operations, revenue, marketing, people and more.

A note to applicants: Fake job and recruiting scams are on the rise. Affirm will never ask you to pay any upfront fees or send you any checks to purchase equipment during any part of the recruiting process. Affirm only uses legitimate company email address domains (either “@affirm.com” or "@us.greenhouse-mail.io”) to communicate with candidates via email.

Affirm is also proud to be a remote-first company! Attracting great people starts by finding talent in different places. That's why we built remote work into the DNA of how we do business—but if an office space is more your style, we have offices in Chicago, New York City, Pittsburgh, San Francisco, Seattle, Toronto, Warsaw, Madrid and London.

Not to mention we have comprehensive and award-winning benefits that were made for you.

About the Role

As an Analyst I in Affirm's Risk & Analytics organization, you will join one of several analytical teams working across the customer and merchant lifecycle. While the specific problems you tackle will depend on your eventual team placement, all Analyst I roles share a common foundation: using data to understand business performance, identify opportunities, and help Affirm make better decisions.

You will learn the fundamentals of consumer lending while executing scoped analytical work under the guidance of senior analysts and managers. You will leverage SQL, Python, and modern analytical tools to help optimize business strategies, monitor performance, and turn complex data into actionable insights.

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

What We Look For:

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.