Credit Strategy & Pricing Manager

Company: LendingClub

Location: San Francisco, CA 94108

Salary: $136,000 - $155,000 a year

Type: Full-time

Posted: 2026-04-22

About this role

### Current Employees of LendingClub: Please apply via your internal Workday Account

LendingClub (soon to be Happen Bank) is built around a simple purpose: to clear the way to help people turn intention into action, and action into financial progress. That means offering focused products, a frictionless mobile-first experience, and clear terms with no gotchas. Respect and fairness is part of our DNA, and that ideal shapes how we work, how we treat each other, and how we invest in our employees and our community. Join us in using data, bold thinking, and a commitment to innovation to help clear the way for millions of Americans to achieve more.

## About the Role

Summary
Job Description Summary
As a key member of the Credit Risk Team, you will be responsible for managing and crafting risk strategies along with developing and tracking appropriate metrics. You will develop personal loan underwriting and pricing strategy, driving loan growth/yield improvement initiatives, managing program performance KPIs, and serve as an active stakeholder in flawless implementation.

## What You'll Do

  • Develop, implement and handle credit risk strategies that involve elements of credit underwriting, pricing, loan amount assignment and verification based on an estimation of probability of default
  • Design A/B tests to help understand risk return tradeoffs using hypothesis testing frameworks
  • Craft automated dashboards to track KPIs around funnel conversion and strategy/portfolio performance; summarize and present findings to senior management
  • Use analytical techniques to mine loan data, and convert findings into executions, including risk mitigation actions, pricing optimization and credit expansion opportunities, to optimize risk-adjusted revenue
  • Expand existing set of data used in credit decisioning process by evaluating information; value of non-traditional data sources and by re-engineering use of existing data elements
  • Work closely with technolog...

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