Job Details

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. AsAffirm 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 doLeverage advanced data analytics to derive insights and optimize credit strategiesPerform portfolio analytics including out‑of‑trend investigations and attribution analysisPartner with Machine Learning and Engineering on building effective monitoring and credit risk capabilitiesMonitor portfolio as well as macroeconomic trends impacting loan performanceDrive adjustments to our underwriting and marketing strategies to mitigate riskContribute in enhancing the end‑to‑end portfolio management monitoring frameworkWhat we look forPassion and drive to change banking, payments and online marketing for the better3–5 years work experience as a data analyst (consumer credit‑risk management strongly preferred but not required)Curiosity to learn about data, models and algorithmsExtensive experience with SQL and PythonAbility to collaborate and influence across different teams in the organizationAbility to communicate findings and recommendations clearly to both technical and non‑technical audiencesA passion for finding insights in data and driving change based on those insightsPay Grade – KEquity Grade – 6Employees new to affirm typically come in at the start of the pay range. Affirms 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: $124,000–174,000Affirm 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.BenefitsHealth care coverage –Affirm covers all premiums for all levels of coverage for you and your dependentsFlexible Spending Wallets – generous stipends for spending on technology, food, various lifestyle needs, and family‑forming expensesTime off – Competitive vacation and holiday schedules allowing you to take time off to rest and rechargeESPP – An employee stock purchase plan enabling you to buy shares of affirm at a discountWe 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.By clicking "Submit Application," you acknowledge that you have read affirm's global candidate privacy notice and hereby freely and unambiguously give informed consent to the collection, processing, use, and storage of your personal information as described therein.#J-18808-Ljbffr