Credit Risk Analyst (Senior level open)
Description • Own the end-to-end design and execution of credit strategies that directly influence every loan and credit-card decision made on Prosper’s $27-billion marketplace platform, translating complex data into policies that protect investors and expand responsible access to credit for more than two million borrowers. • Mine terabytes of performance, bureau, bank-transaction, and alternative data with SQL, Python, and Tableau to uncover new risk segments, build challenger models, and surface early-warning indicators that keep loss rates below industry benchmarks while fueling growth. • Architect and run rigorous A/B and champion-challenger tests that quantify the risk-return trade-off of each policy change, then socialize statistically significant results to Risk, Product, Marketing, Engineering, and Senior Leadership so every stakeholder understands the “why” behind each decision. • Produce monthly and quarterly loss-forecasting models for both Personal Loan and Credit Card portfolios, continuously refining vintage, macro-economic, and behavioral assumptions to improve forecast accuracy and meet investor, regulator, and board expectations. • Partner shoulder-to-shoulder with Product Managers to embed new data sources (e.g., cash-flow attributes, fraud consortium signals, open-banking insights) into underwriting flows, ensuring that each release is monitored through pre-defined KPI dashboards and back-tested for unintended bias. • Translate regulatory guidance (Reg B, FCRA, SCRA, MLA, state rate-cap rules) into executable policy logic, collaborating with Legal & Compliance to document decision rationale, maintain fair-lending evidence packages, and respond to examiner inquiries without slowing innovation. • Perform granular, segment-level portfolio diagnostics—drilling from vintage to channel to FICO band to loan purpose—to isolate performance drivers, quantify seasonal effects, and recommend dynamic pricing or credit-limit adjustments that protect margin. • Drive ad-hoc deep dives requested by Investor Services, Capital Markets, and Operations teams, ranging from “Why did Q2 charge-offs spike in Florida?” to “What is the expected lifetime value of a repeat borrower?”—delivering clear, actionable answers under tight deadlines. • Curate and maintain a library of reusable Python modules, SQL snippets, and Tableau templates that accelerate future analyses and democratize best practices across the broader Credit Risk and Data Science community. • Champion a culture of intellectual curiosity by questioning legacy rules, pressure-testing assumptions, and presenting “lunch-and-learn” sessions on new machine-learning techniques, ensuring Prosper stays ahead of rapidly evolving fintech and big-tech competitors. • Mentor junior analysts through code reviews, pair-programming, and career-path coaching, raising the analytical bar while building the next generation of risk leaders within the organization. • Thrive in a 100 % remote-first environment that prizes asynchronous communication, clear documentation, and decisive action—meeting sprint commitments without sacrificing analytical rigor or stakeholder transparency. Apply tot his job