
FloatMe
Remote Jobs
Our goal is to improve the financial lives of over 150M Americans
2 Jobs
Machine Learning Engineer, Underwriting
FloatMeOur goal is to improve the financial lives of over 150M Americans
• You will be a senior individual contributor building and evolving the ML systems behind these products. • You will work across the full modeling lifecycle: problem formulation, feature development, training, calibration, experimentation, deployment, monitoring, and iteration. • Build, evaluate, and maintain underwriting and decisioning models. • Design and evolve underwriting decision frameworks, including the modeling, automation, policy logic and amount assignment that manage exposure over time. • Design and run experiments to evaluate model performance, measure impact on approval rates and loss, margin and inform underwriting policy decisions. • Develop deep understanding of consumer behavior, repayment dynamics, and portfolio structure, and use that to inform model design and decision logic. • Contribute analysis and perspective that inform portfolio-level decisions, including explaining model behavior, tradeoffs, and uncertainty to senior technical and business leaders. • Develop and maintain the key portfolio KPIs and inventory of periodic analysis to continuously identify risk and growth opportunities. • Collaborate with Product, Engineering, Legal, Compliance, and Operations to ensure underwriting systems reflect business goals and regulatory expectations.
Senior Director, Credit Strategy
FloatMeOur goal is to improve the financial lives of over 150M Americans
• Develop, build, and operationalize our credit portfolio focused on balancing growth vs. risk with an end goal of minimizing our loss rate. • Optimize our efforts to reduce bad debt and loss rates across current and future FloatMe products while delivering on our business goals. • Drive our credit risk philosophy for new and existing customers, understanding different levers and acceptable risk. • Work with our internal Data Engineering team to improve our processes and learnings through machine learning. • Consistently review data and deliver results on credit risk, user trends, and adjust our thresholds accordingly. • Partner cross-functionally with Finance, Compliance, Product, Engineering and Member Support to reduce bad debt while keeping our users top of mind.