Analytics Manager, Credit Risk

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Overview

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, Fraud, Product, Engineering, Capital Markets, and Commercial teams to responsibly manage the risk profile of the business. We’re looking for an intelligent, 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, designing credit strategies for new initiatives and products, partnering with the Machine Learning team to continuously enhance our underwriting framework, and being ready to navigate through any exogenous changes will be important problems to tackle.

This role requires a lot of cross-functional partnership, with extensive use of data analytics to derive insights and develop credit strategies. 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!

Responsibilities

• Partner with cross-functional teams and be the Credit POC that manages the end-to-end credit strategy for the Amazon portfolio
• Leverage alternative data and optimize our credit strategy to expand credit reach to the low FICO and credit invisible users
• Partner with Machine Learning team to enhance our underwriting framework for high AOV
• Support new product formation and new vertical exploration

What we look for

Pay and Benefits

Location and Eligibility

Benefits

We believe it’s important to provide an inclusive interview experience for all, including people with disabilities. Reasonable accommodations are available during the hiring process.

[For U.S. positions that could be performed in Los Angeles or San Francisco] Affirm will consider qualified applicants with arrest and conviction records in line with local Fair Chance ordinances.

By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and give informed consent to the collection, processing, use, and storage of your personal information as described therein.

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