Teams at Trepp, Inc.

Analyzes product usage, client behavior, and performance metrics for lending products; builds dashboards and reports; supports requirements, user stories, market research, data validation, documentation, and roadmap tracking. Collaborates with product managers, engineers, and client-facing teams to translate data and feedback into product decisions.

Own product initiatives from discovery through launch and post-release evaluation. Translate business and client needs into requirements, user stories, acceptance criteria, and technical documentation. Partner with engineering, data science, QA, operations, and client teams to develop reliable data and AI-powered products. Work hands-on with SQL, databases, pipelines, and APIs while evaluating AI quality, accuracy, retrieval relevance, latency, cost, security, and user feedback.

Design, build, and operate scalable batch and near-real-time data pipelines on AWS. Lead complex data engineering projects, translate business needs into data models and technical solutions, ensure data quality and reliability, and shape platform roadmaps. Integrate AI workflows such as LLM orchestration, embeddings, and vector search while collaborating with product and engineering teams across financial and analytical products.