Analyst II, Credit Risk Analytics

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.

The Credit team works cross‑functionally with Machine Learning, Product, Engineering, Capital Markets, and Commercial teams to responsibly manage the risk profile of the business. We’re looking for a thoughtful, driven individual who wants to learn, grow, and solve hard problems. The team’s mandate is to enable sustainable growth while closely managing the profitability and resilience of our portfolio. As Affirm continues on an exciting growth trajectory, we will think through credit policies for new initiatives and products, shape ongoing testing and experimentation, and be ready for navigating through exogenous changes.

This role requires extensive use of data analytics to derive insights across a variety of functions. It also requires a lot of cross‑functional partnership, including working with the Machine Learning and Quantitative Market teams in developing new models/frameworks, with the Merchant Pricing and Merchant Risk teams to value different merchants, and with the Fraud team to detect fraudulent activities.

What you’ll do

• Leverage advanced data analytics to derive insights and optimize credit strategies
• Perform portfolio analytics including out‑of‑trend investigations and attribution analysis
• Partner with Machine Learning and Engineering on building effective monitoring and credit risk capabilities
• Monitor portfolio as well as macroeconomic trends impacting loan performance
• Drive adjustments to our underwriting and marketing strategies to mitigate risk
• Contribute to enhancing the end‑to‑end portfolio management monitoring framework

What we look for

• Passion and drive to change banking, payments and online marketing for the better
• 3‑5 years work experience as a data analyst (consumer credit risk management strongly preferred but not required)
• Curiosity to learn about data, models and algorithms
• Extensive experience with SQL and Python
• Ability to collaborate and influence across different teams in the organization
• Ability to communicate findings and recommendations clearly to both technical and non‑technical audiences
• A passion for finding insights in data and driving change based on those insights

Pay Grade – K

Equity Grade – 6

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 equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidised medical coverage, dental and vision for you and your dependents).

USA base pay range (CA, WA, NY, NJ, CT) per year: $140,000‑190,000

USA base pay range (all other U.S. states) per year: $124,000‑174,000

Affirm is proud to be a remote‑first company! The majority of our roles are remote and you can work almost anywhere within the country of employment. Amendments to some roles may occasionally require working out of an assigned office.

Benefits

• Health care coverage – Affirm covers all premiums for all levels of coverage for you and your dependents
• Flexible Spending Wallets – generous stipends for 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

We believe It’s On Us to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process.

By law, for U.S. positions that could be performed in Los Angeles or San Francisco, we consider applicants with arrest and conviction records per the San Francisco Fair Chance Ordinance and Los Angeles Fair Chance Initiative.

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