Credit Portfolio Risk Analyst

About the role

The Credit Portfolio Risk Analyst will be one of the first people to build Bounce's risk function from the ground up — the person whose analyses decides where our capital actually gets deployed. Bounce operates in a $100B+ debt collection market, buying and managing real portfolios today, so this is live capital decisions from week one, not a function you’re prototyping in theory.

Responsibilities

• Evaluate incoming debt-sale opportunities by building loan-level and cohort-level collection and cash-flow forecasts and recommending bid pricing, expressed in cents on the dollar.
• Stratify portfolios by product type, balance band, delinquency/age, state (statute-of-limitations exposure), and account attributes to understand what drives value.
• Run seller data due diligence: completeness and fill rates, balance reconciliation to the tape, documentation/media availability, chain of title, bankruptcy/deceased scrubs, and prior placement history.
• Build return models — IRR, MOIC, NPV/discounting, hurdle achievement — and stress-test the assumptions that matter most.
• Translate underwriting assumptions into explicit, monitorable post-purchase expectations so we can later measure actual vs. underwritten.
• Track actual collection curves against underwritten curves by batch and vintage.
• Maintain IRR/MOIC tracking against hurdle targets; flag underperformance early.
• Partner with Data Science on estimated remaining collections (ERC) recalibration.
• Diagnose return gaps by connecting them to operational drivers (outreach cadence, right-party contact, conversion, break/keep rates) and population factors (bankruptcy, bad contact data).
• Produce recurring portfolio-risk reporting for leadership.
• Help establish the risk playbook: underwriting standards, pricing methodology, monitoring cadence, and escalation thresholds.
• Codify reusable analyses and write documentation for clarity and replicability.
• Work with leadership to define risk appetite and the guardrails around it.

Requirements

• 4+ years of experience in credit risk, portfolio analytics, structured or specialty finance, acquisitions, investment banking, private credit, or a related field within a debt buyer, lender, consumer credit firm, credit fund, distressed investing, CLO, or bond-trading environment.
• Bachelor’s degree in Finance, Economics, Accounting, Mathematics, Statistics, Data Science, Engineering, or another quantitative field.
• Strong SQL skills with the ability to independently write non-trivial queries (joins, window functions, date logic, cohort aggregation) against a large warehouse.
• Strong financial modeling skills, including IRR, MOIC, NPV, cash flow, sensitivity, and vintage analysis.
• Advanced Excel skills and comfort working with large, imperfect loan-level or transaction-level datasets.
• Understanding of credit fundamentals; experience with consumer credit, collections economics, recovery curves, roll rates, or cost to collect is a plus.
• Strong analytical judgment and the ability to clearly explain and defend recommendations to leadership.
• Highly organized, detail-oriented, and comfortable managing multiple priorities in a fast-paced environment.
• Interest in fintech, credit investing, consumer finance, or debt recovery.