Role Overview
- Own the full credit system end-to-end β underwriting logic, risk thresholds, expected-loss modeling, decisioning speed, borrowing experience, and operational workflows.
- Partner closely with Pricing, Data Science, Finance, and CX to build a world-class credit engine delivering fast liquidity with strong portfolio performance.
Credit Decisioning Engine
- Own underwriting logic for cash advances and loans.
- Partner with Data Science to refine model thresholds, LTV caps, expected-loss calculations, and override rules.
- Improve calibration between expected loss and actual portfolio performance.
- Ensure fast, consistent, scalable decisioning across asset categories.
Cash Advance & Lending Product Experience
- Own borrower UI/UX end-to-end: application, offer, funding, repayment.
- Improve clarity, trust, ease-of-use in borrowing experience.
- Reduce friction and increase completion rates for cash advances and loans.
- Develop features to encourage responsible, repeat borrowing.
Portfolio Performance & Risk
- Monitor loss rates, delinquency, utilization, customer repayment behavior.
- Work with Finance for healthy margins and capital efficiency.
- Implement guardrails to reduce adverse selection and improve risk quality.
- Build dashboards and reporting to communicate model health.
Operational Workflows
- Own CX/Ops flows for funding, repayment, manual review, exceptions.
- Reduce operational overhead via automation and clear logic pathways.
- Ensure scalable operational processes maintaining strong controls.
Roadmap + Execution
- Build and own quarterly roadmap for cash advances and lending.
- Align Engineering, Data Science, CX, Finance, Compliance, and Marketplace Ops.
- Communicate priorities clearly and drive cross-functional execution.
Metrics Youβll Own
- Northstar Metric: Risk-Adjusted Portfolio Performance.
- KPIs include Offer Acceptance Rate, Lending Conversion Rate, Loss Rate vs Expected Loss, Delinquency Rate.
What Great Looks Like (6 Months)
- Higher offer acceptance and lending conversion without increasing losses.
- Faster underwriting decisions.
- Improved model calibration and simpler borrowing experience.
- Clean, scalable operational workflows and stable portfolio performance.
Who You Are
- 5β8+ years PM experience in credit, lending, underwriting, risk, or fintech.
- Strong understanding of underwriting logic, expected-loss modeling, delinquency, and LTV frameworks.
- Comfortable interpreting model outputs into credit rules and customer flows.
- Experienced partnering with Finance, Data Science, CX, and Engineering.
- Product thinker simplifying complex financial decisions into user-friendly interfaces.
- Able to operate from credit model details to high-level product strategy.
- Fast-moving, ownership-taking, clear communicator.