Analyst II, Credit Risk Analytics
Role summary
Affirm is seeking an Analyst II, Credit Risk Analytics to join their Credit team. This role involves leveraging advanced data analytics to derive insights and optimize credit strategies, perform portfolio analytics, and partner with Machine Learning and Engineering teams. The analyst will monitor portfolio and macroeconomic trends, drive adjustments to underwriting and marketing strategies, and enhance the monitoring framework. The ideal candidate has 3-5 years of experience as a data analyst, extensive SQL and Python skills, and the ability to collaborate and communicate effectively. Experience in consumer credit risk management is strongly preferred. This is a remote position with a competitive salary range and comprehensive benefits.
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 Risk & Analytics team makes crucial decisions that direct Affirm’s business strategy. Our team designs and runs experiments to decide which product features to launch and which marketing campaigns to fund. We analyze performance not just to report on it, but to determine where to invest resources for maximum impact through building tools and analytical frameworks. We take ownership of the entire analytical lifecycle, from initial question to final business decision, ensuring Affirm grows efficiently and intelligently.
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; thinking through credit policies for new initiatives and products, shaping ongoing testing and experimentation, and being ready for navigating through any exogenous changes will be important problems to tackle.
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, with the Fraud team to detect fraudulent activities, as part of the role.
Come join us in our mission to change consumer finance through better data and technology, lower costs, and increased transparency while providing the best customer experience!
What you'll do
What we look for
Pay Grade - KEquity Grade - 6Employees 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% subsidized medical coverage, dental and vision for you and your dependents.)USA base pay range (CA, WA, NY, NJ, CT) per year: $140,000-190,000USA base pay range (all other U.S. states) per year: $124,000- 174,000
#LI-Remote
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. Affirmers in proximal roles have the flexibility to work remotely, but will occasionally be required to work out of their assigned Affirm office. A limited number of roles remain office-based due to the nature of their job responsibilities.
We’re extremely proud to offer competitive benefits that are anchored to our core value of people come first. Some key highlights of our benefits package include:
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.
[For U.S. positions that could be performed in Los Angeles or San Francisco] Pursuant to the San Francisco Fair Chance Ordinance and Los Angeles Fair Chance Initiative for Hiring Ordinance, Affirm will consider for employment qualified applicants with arrest and conviction records.
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