Credit Risk Manager

Scratchpay; United States; Hybrid; USD 130,000 - 170,000; Full time

Benefits offered by this job

Equity

Unlimited PTO

Healthcare

401(k) matching

Cell plan reimbursement

Monthly recognition opportunities

Continuous learning resources

Equity retention program

Generous parental leave

Job summary

Scratch Financial is hiring a Credit Risk Manager in Pasadena, CA to own high‑impact analyses across the consumer lending lifecycle, from approvals to losses and collections. You’ll leverage data, SQL, Python, and AI tools to shape underwriting strategy and risk policies, working with Product, Engineering, Finance, and Marketing.

This is a hands‑on IC role with broad scope and ownership. You'll collaborate with senior stakeholders and our VP of Credit Risk to optimize the funnel, improve loss

Qualifications

• Bachelor's degree in a quantitative field
• 3+ years in consumer lending credit risk or analytics at a bank or fintech
• Hands-on experience across the credit strategy lifecycle: analysis, design, test design, validation and monitoring
• Strong SQL and Python; comfortable with large loan-level and credit bureau datasets
• Experience using AI tools to accelerate work and verify outputs
• Autonomous worker who structures ambiguous problems and drives to a decision
• Clear, concise communicator with senior stakeholders
• Team player with ownership mindset and bias for action

Responsibilities

• Own analyses that shape underwriting strategy and policy changes
• Diagnose drivers of credit performance and translate into actions
• Improve loss mitigation, collections and recovery strategies
• Analyze how application and checkout experience affects originations funnel
• Contribute to underwriting model improvements from data prep to monitoring
• Build repeatable, AI-assisted workflows to speed analysis
• Communicate findings to executives and bank/capital partners

Skills

SQL

Python

AI tools

Data analysis

Executive communication

Autonomy

Stakeholder management

Education

Bachelor's degree in a quantitative field

Job description

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:

• Scratch Pay: Point-of-sale lending, including a BNPL offering and longer-term payment plans
• 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,

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 decision
• Clear, concise communicator with senior stakeholders
• Team player with a great attitude, an ownership mindset and a bias for getting things done

Nice to have:

• Point‑of‑sale, installment or BNPL lending
• Collections/recoveries strategy
• Experience working with a partner bank

What You Can Expect From Our Process

While these steps may vary slightly from role to role, we aim for a well‑rounded interview approach for all involved.

• A quick chat with People Ops (HR): To ensure logistics and team fit make sense from both sides.
• Hiring Manager Interview: A deep dive to evaluate your credit depth, past business impact, overall operating style, and answer any questions you have about the team.
• Live Exercise with Hiring Manager: A practical exercise evaluating your analytical rigor, judgment, and communication approach.
• Team Panel Interview: Opportunity to meet the team, discuss your hands‑on SQL/Python depth and cross‑functional collaboration skills.
• Executive‑Level Interviews & Reference Checks: A chance for you to meet our leaders, discuss big‑picture alignment, and introduce us to your professional references.

* In‑Person Connection: We include an in‑person visit at our Pasadena HQ, either within the final interview steps or during your first week of onboarding, so we can connect face‑to‑face right from the start.

Why You’ll Love Working Here

Competitive base salary ranging from $130,000 - $170,000 + equity

While Scratch supports remote work for most roles, we believe the secret sauce to our team culture is meaningful connection and close collaboration. For those nearby or visiting, our Pasadena office is fully open and stocked with snacks and drinks for hybrid work. We also bring the whole company together each year for Hub Day, our annual onsite where everyone gathers in person to bond, align, and celebrate our wins together!

Alongside our collaborative team environment, we offer unlimited PTO, covered healthcare, flex benefits, 401(k) matching, cell plan reimbursement, monthly recognition opportunities, continuous learning resources, an equity retention program, and generous parental leave!

* Our team will ONLY contact you from the domain @scratchpay.com or @ats.rippling.com

Our Commitment

We’re innovators who care deeply about the lives of pets, their owners, and veterinary professionals. We believe diversity strengthens our team and drives better solutions.

Scratch is committed to diversity in its workforce and is proud to be an equal opportunity employer. Scratch considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.