Credit Strategy & Pricing Manager

Happen Bank (formerly LendingClub) 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.

About the Role

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.

Responsibilities

• 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 technology teams to ensure new strategies are implemented accurately and as designed
• In addition to leveraging both off-the-shelf and custom AI tools in daily work, look to develop new custom tools or enhance existing processes with AI

Requirements

• 3+ years of experience in some combination of credit, analytics, risk management, and data science
• Bachelor's degree or higher in a quantitative field (e.g. Statistics, Math, Engineering, Economics); or equivalent work experience
• Technical skills such as SQL, SAS, R, and Python
• Experience with BI/data visualization tools, like Tableau or Excel, to create dashboards
• Excellent written and verbal communication skills
• You actively use AI to improve your work and are thoughtful about accuracy, data sensitivity, and better ways of working

Work Location

This role is based in San Francisco. The locations have been determined to foster in-person collaboration with this role’s team or the related business lines. We utilize a hybrid work model, and our teams are in-office Tuesdays, Wednesdays, and Thursdays. In-person attendance is essential for this role’s success, and remote placement will not be considered. LendingClub offers relocation, based on actual job level.

Time Zone Requirements

Primarily PT. While the position will primarily work local hours, LendingClub is headquartered in Pacific Time and our ideal candidate will be flexible working across time zones when necessary.

Travel Requirements

Monthly/quarterly/as needed travel to LendingClub offices and/or other locations.

Pay

The target base salary range for this position is $136,000–$155,000. The base salary of the role will be determined by job-related knowledge, experience, education, skills, and location. Base salary is just one part of LendingClub’s Total Rewards package. You may also be eligible for long-term awards (equity) and an annual bonus (which is based on company performance, employee performance and eligible earnings).

Benefits

• Medical, dental and vision plans for employees and their families
• 401(k) match
• Health and wellness programs
• Flexible time off policies for salaried employees
• Up to 16 weeks paid parental leave