Quant Engineer

About the role

Build and improve quantitative pricing models for illiquid private-market assets, research useful datasets and market signals, and develop scalable pipelines for collecting, validating, and storing financial data. Develop machine-learning and LLM-enabled workflows, deliver custom analyses to institutional clients, and explain methodologies while collaborating across the company. Candidates should have professional quantitative experience in an institutional financial environment and a strong foundation in quantitative disciplines such as statistics, mathematics, financial modeling, or machine learning. A relevant quantitative degree is required, with a master’s preferred, alongside strong software and data engineering capabilities, experience with complex financial datasets, clear communication skills, and comfort working with significant ownership in an early-stage company.