Credit Risk Manager

Scratch Financial

1d•$130,000 - $170,000•Remote

About The Position

Scratch is seeking a Credit Risk Manager to own high-impact analysis across the consumer lending lifecycle, including approval decisions, loan originations, portfolio performance, and support for borrowers who fall behind. This hands-on individual contributor will turn data into decisions on underwriting strategy, loss mitigation, collections, and the application funnel, working with the VP of Credit Risk and cross-functional partners in Product, Engineering, Finance, and Marketing. The team uses AI to accelerate its analytical work. The role spans underwriting strategy, credit performance diagnosis, loss mitigation and recovery, application and checkout funnel analysis, and underwriting model development and improvement. The manager will build repeatable AI-assisted workflows and communicate recommendations to executives and bank and capital partners. The position offers a base salary of $130,000–$170,000 plus equity. Scratch supports remote work for most roles, and its Pasadena office is open for hybrid work. The company also brings employees together annually for an onsite Hub Day and includes an in-person visit at the Pasadena headquarters during the final interview steps or the first onboarding week.

Requirements

Bachelor's degree in a quantitative field such as Statistics, Economics, Mathematics, Engineering, or Finance.
At least 3 years of experience in consumer lending credit risk or analytics at a bank or fintech, in underwriting, credit strategy, or loss mitigation/collections.
Hands-on experience across the credit strategy lifecycle, including analysis, strategy design, test design, implementation validation, and post-implementation monitoring.
Strong SQL and Python skills.
Comfort working with large loan-level and credit bureau datasets.
Enthusiasm for using AI tools to accelerate work and judgment to verify their output.
Ability to think critically, work autonomously, structure ambiguous problems, and drive them to a decision.
Clear, concise communication skills with senior stakeholders.
Collaborative attitude, ownership mindset, and bias for getting things done.

Nice To Haves

Experience in point-of-sale, installment, or BNPL lending.
Collections or recoveries strategy experience.
Model development experience, such as logistic regression or gradient boosting.
Experience working with a partner bank.

Responsibilities

Own analyses that shape underwriting strategy, identify approval and loss opportunities, assess trade-offs, and recommend policy changes.
Diagnose drivers of credit performance, including delinquency, roll rates, and losses, and turn findings into clear actions.
Improve loss mitigation, collections, and recovery strategies, including designing and evaluating champion/challenger tests.
Analyze how application and checkout experiences affect the originations funnel and partner with Product to improve it.
Contribute to underwriting model improvements and help build new models, from data preparation through validation and monitoring.
Build repeatable AI-assisted workflows that improve team speed and analytical reliability.
Communicate findings and recommendations clearly to executives and bank and capital partners.