Credit Risk Manager

Who We Are

Scratch Financial (“Scratch”) is a late stage venture-backed financial technology business based in Pasadena, California. At Scratch, everything starts and ends with our mission: being the payment partner of choice for veterinary practices and helping pet parents access the care their animals need without financial barriers. Driven by our award-winning technology, Scratch has become the fastest growing financing provider in veterinary care, with a partner network of 17,000+ practices across the U.S. and Canada.

Scratch has 2 main products:

1. Scratch Pay: Point-of-sale lending, including a BNPL offering and longer-term payment plans
2. Scratch Checkout: Payment processing that is integrated with the veterinary practice management software

We are a company built on the foundation of transforming the way pet healthcare payments are done, and we are looking for innovators who share our commitment to shaping the future of veterinary care financing. If putting compassion first, helping tell the story of groundbreaking products and continuously learning & refining to achieve exceptional outcomes sounds like you, then we encourage you to apply.

Position Overview

We're looking for a Credit Risk Manager to join Scratch's Credit team and own high-impact analysis across the full consumer lending lifecycle: who we approve, how we turn approvals into loans, how our loans perform, and how we help borrowers who fall behind. You'll turn data into critical decisions on underwriting strategy, loss mitigation and collections, and our application funnel, working directly with our VP of Credit RIsk and partners across Product, Engineering, Finance, and Marketing. This is a hands-on individual contributor role for someone who wants big scope, real ownership, and a team that uses AI to turbocharge our analytical approach.

What You'll Do

You'll work across the full scope of our Credit team, with specific projects dictated by priorities. Example work streams include:

• Own analyses that shape underwriting strategy: find approval and loss opportunities, size the trade-offs, and recommend policy changes
• Diagnose the drivers of credit performance (delinquency, roll rates, losses) and turn them into clear actions
• Improve our loss mitigation, collections and recovery strategies, including designing and reading champion/challenger tests
• Analyze how our application and checkout experience affects the originations funnel, and partner with Product to improve it
• Contribute to underwriting model improvements and help build new models, from data prep through validation and monitoring
• Build repeatable, AI-assisted workflows that make the team faster and our analysis more reliable
• Communicate findings to executives and to our bank and capital partners in clear, concise recommendations

What We Are Looking For

• Bachelor's degree in a quantitative field (e.g., Statistics, Economics, Math, Engineering, Finance)
• 3+ years in consumer lending credit risk or analytics at a bank or fintech (underwriting, credit strategy, or loss mitigation/collections)
• Hands-on experience across the credit strategy lifecycle: analysis, strategy design, test design, implementation validation and post-implementation monitoring
• Strong SQL and Python; comfortable with large loan-level and credit bureau datasets
• Real enthusiasm for using AI tools to accelerate your work, and the judgment to verify what they produce
• A critical thinker who works autonomously, structures ambiguous problems and drives them to a