Teams at Prosper

Build and deploy machine learning models for credit and fraud risk, using large-scale financial data to improve lending decisions and business performance. Monitor production models, validate algorithms and features, conduct risk analyses, follow regulatory and responsible AI practices, and collaborate with engineers and cross-functional stakeholders. Develop productivity tools, document models, and communicate technical findings to senior management.

Leads and mentors a 6–10-person software engineering team delivering customer-facing financial products. Oversees the full software development lifecycle, project execution, quality, operational excellence, incident management, modernization, cloud-native architecture, and AI-assisted development adoption. Partners with product, design, and business stakeholders on roadmaps, requirements, and delivery while fostering an inclusive, high-performing engineering culture.

Manage and execute multi-channel lifecycle marketing campaigns across email, SMS, push, and in-account messaging. Build and optimize Iterable journeys, code and QA personalized HTML/CSS emails, conduct testing, monitor performance, troubleshoot API events and webhooks, and collaborate with marketing analytics, technical, legal, and compliance teams.