Quantitative Engineer (Private Markets)

About the role

Develop and improve pricing and valuation models for illiquid private-market assets, engineer financial features, and build scalable production data pipelines supporting machine learning and client-facing products. Explore LLM applications for data ingestion and quality assurance, analyze proprietary datasets for clients, and help shape the product roadmap and technical architecture. Candidates should have quantitative experience in a rigorous financial environment and a strong foundation in statistics, applied mathematics, financial modeling, machine learning, or quantitative research. Production-grade programming and data pipeline experience, clear communication with sophisticated financial clients, and a relevant degree are required; a master's degree or PhD is strongly preferred.