Design and deploy ML systems and scalable data extraction pipelines (OCR/NLP/LLMs) for private markets data. Build lightweight production libraries and internal front-end tools, implement testing and monitoring, collaborate cross-functionally, and deliver analytics to improve product, operational, and business performance.

Embed within delivery teams to translate private markets domain knowledge into testable requirements and automated tests. Define test cases, validate financial data structures, identify accuracy gaps, contribute to Playwright E2E, API and service testing, and collaborate with engineers and product to ensure financial logic correctness and data integrity.

The Senior QA Engineer will enhance testing strategies, ensure software quality, mentor team members, and strengthen automated testing in a collaborative environment.

The Data Analyst will ensure data integrity and accuracy in private equity financial data, develop financial models, perform data testing, resolve issues, and support client onboarding.

Manage client service and onboarding for private markets data, ensuring smooth transitions and long-term success while collaborating with data and product teams.