Credit Strategy & Pricing Manager

LendingClub

San Francisco (CA)

Hybrid

USD 136,000 - 155,000

Full time

14 days+
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Benefits offered by this job

Medical
Dental
Vision
401(k) match
Wellness program
Flexible time off
Parental leave (up to 16 weeks)
Equity (long-term awards)

Job summary

LendingClub is seeking a data-driven Credit Risk professional to help craft risk strategies, build underwriting and pricing models, and drive loan growth while improving yield.

You will design experiments, develop dashboards, and work with technology teams to implement AI-enabled tools, evaluating non-traditional data and expanding risk capabilities.

Qualifications

  • 3+ years of experience in credit, analytics, risk management, and data science.
  • Bachelor’s degree or higher in a quantitative field.
  • Proficiency with SQL, SAS, R and Python.

Responsibilities

  • Develop, implement and handle credit risk strategies related to underwriting, pricing, and loan amount verification.
  • Design A/B tests to understand risk-return tradeoffs using hypothesis testing frameworks.
  • Craft automated dashboards to track KPIs around funnel conversion and strategy/portfolio performance; summarize findings to senior management.
  • Use analytical techniques to mine loan data and translate findings into risk mitigation actions and pricing optimization.
  • Expand data used in decisioning by evaluating non-traditional sources and re-engineering data elements.
  • Collaborate with technology teams to ensure accurate implementation of new strategies and tools, including AI enhancements.

Skills

SQL
SAS
R
Python
Tableau
Excel
Communication
AI

Education

Bachelor's degree or higher in a quantitative field

Tools

Tableau
Excel
AI tools

Job description

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 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
About You
  • 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

San Francisco The above locations are eligible offices for this role. 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, as needed.

Compensation

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). We’re creating new financial services solutions for our members based on fairness, simplicity, and heart, and we treat our employees the same way.

  • medical
  • dental
  • 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
  • and more.
Notice on AI Tool Use

For select roles and locations, candidate interviews may be recorded, transcribed and summarized by tools such as artificial intelligence (AI) to assist our hiring managers with the application process. You will have the opportunity to opt out of recording, transcription, and summarization prior to any scheduled interviews. We will not discriminate against you if you choose to opt out. During the interview, we will collect the following categories of personal information from or about you: contact information, identifiers, professional and employment-related information, sensory information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment. We will only share your interview, transcription, or summary with persons whose expertise or technology is necessary to process your application, evaluate your fitness for a position, and administer or support the tool. We will not sell your personal information or disclose it to any third party for their marketing purposes. For more information about how we will handle your personal information, please refer to our Privacy Disclosure. We will delete any recording of your interview promptly but in no event later than 30 days after making a hiring decision.

Equal Opportunity Employer

Happen Bank is an equal opportunity employer and dedicated to diversity, equity, and inclusion in the workplace. We do not discriminate on the basis of race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), gender, gender identity, gender expression, sexual orientation, age, marital status, veteran status, disability status, political views or activity, or other applicable legally protected characteristics. We believe that a variety of perspectives will make our teams and business stronger as we work together to transform the traditional banking system.

Accommodations for Individuals with Disabilities

We are committed to providing reasonable accommodations for qualified individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at interviewaccommodations@happen.com.

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. Join us in using data, bold thinking, and a commitment to innovation to help clear the way for millions of Americans to achieve more. To learn more visit us at happen.com Please review Happen Bank Work-related Privacy Disclosure.

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