Jobs at Prosper

Design, build, and maintain Java/Kotlin Spring Boot microservices powering borrower-facing loan experiences. Lead end-to-end projects, modernize legacy systems to event-driven GCP architectures, integrate REST/GraphQL APIs, improve performance, testing, and observability, and mentor teammates while using AI-assisted development tools.

Lead credit risk analytics for credit card and personal loan portfolios: develop ML-driven credit strategies, monitor portfolio performance, run A/B tests, forecast credit losses and stress tests, ensure regulatory compliance, and partner across Product, Engineering, Legal and Marketing.

Own product strategy and lifecycle for credit card products: define vision, prioritize requirements, lead cross-functional teams, use data and A/B testing to iterate, and deliver customer-focused features that meet business and revenue goals.

The VP of Marketing will lead the marketing ecosystem to drive growth, define competitive advantages, influence product design, and mentor a diverse team towards a mission-driven culture.

Develop and test credit and fraud strategies using data, machine learning, and advanced analytics. Design A/B tests, analyze portfolio performance, identify trends, and partner with Data Science, Product, and Engineering to implement and validate risk decisions. Communicate findings and conduct ad-hoc analyses to optimize marketplace credit outcomes.

Lead development of credit and fraud strategies using data, ML models, and advanced analytics. Design A/B tests, analyze portfolio performance, conduct root-cause and ad-hoc analyses, and partner with Data Science, Product, and Engineering to implement and validate risk and fraud prevention strategies while communicating findings to stakeholders.

Lead cross-product experience between Personal Loans and Credit Card products. Define and execute a multi-year vision to increase ARPU, design intelligent AI-enabled product recommendations and cross-product journeys, run experiments, partner with design, engineering, data science, credit and risk, and own strategy, roadmap, and execution end-to-end.