LendingClub
Sr Personal Loans Analyst
San Francisco, CA · Senior
Sponsorship not specified$109k-$128kDetected 30 days ago
PythonSQLA/B TestingHRISCollaboration
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odds of building a lasting career here
45Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role72
Entry-level history0
PERM / green-card track0
Lottery odds (Level II)66
Fits your clock70
Sponsors, but it's cap-subject — you still face the weighted lottery (~30% per draw at Level II). 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
- The Sr Personal Loans Analyst plays a key role in driving performance across Happen Bank's Personal Loans business, supporting core offer programs like TopUp, Refinance, and Pre-Approved offers alongside emerging growth initiatives.
- You'll help shape how the business grows by translating performance insights into real decisions.
Responsibilities
- Support execution of initiatives across core Personal Loans programs, including TopUp, Refi, and Pre-Approved/Prescreen, as well as new growth efforts
- Help develop and roll out new offer features and program enhancements, including pricing, fees, eligibility, and customer experience improvements
- Partner with Product, Marketing, Risk, and Finance to keep delivery on track against shared goals
- Build and maintain dashboards and reports that make performance easy to monitor and act on, using AI tools where they help speed up analysis or surface insights faster
- Support test-and-learn experimentation by helping design analyses, track results, and translate findings into next steps
- You collaborate well across teams and adjust your approach based on feedback and context
- Clear, concise communicator who can present data and insights in a way that drives decisions
Requirements
- 2+ years of experience in financial services, fintech, consulting, or a related analytical role
- bachelor's degree in a related field
- Strong analytical skills, with the ability to turn complex data into clear, actionable insights
Nice to have
- Experience with SQL, Python, or similar tools
- Prior exposure to lending, credit, or offer/pricing strategy
- Happen Bank offers relocation, based on actual job level.
- Time Zone Requirements
- Local hours (PT)
Compensation
- The target base salary range for this position is 109,000-128,000.
- 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 Happen Bank'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 Happen Bank'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.