LendingClub
Credit Strategy & Pricing Manager
San Francisco, CA · Mid
Sponsorship not specified$136k-$155kDetected 30 days ago
PythonSQLData ScienceData VisualizationStatisticsA/B TestingExcelHRISSASCommunicationCollaborationUnderwriting
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odds of building a lasting career here
52Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role72
Entry-level history0
PERM / green-card track0
Lottery odds (Level III)83
Fits your clock70
Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
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About the role
- 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.
- 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.
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
- 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
- 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)
- Experience with BI/data visualization tools, like Tableau or Excel, to create dashboards
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).
Benefits
- 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 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.
Company info
- 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.
- Base salary is just one part of LendingClub's Total Rewards package.
- We are committed to providing reasonable accommodations for qualified individuals with disabilities in our job application process.
- We are committed to providing reasonable accommodations for qualified individuals with disabilities in our job
Equal opportunity
- If you need assistance or an accommodation due to a disability, please contact us at interviewaccommodations@happen.com.
- equal opportunity employer and dedicated to diversity, equity, and inclusion in the workplace.
Visa & Work Authorization
- 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.
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This listing is sourced directly from LendingClub's careers page and normalized into a canonical job model.