Quantitative Researcher

We’re partnering with a highly selective quantitative investment firm looking to add exceptional technical researchers to a small, high-caliber team.This is not a traditional finance hire. The team is particularly interested in PhD-level Computer Scientists, Machine Learning Researchers, and mathematically rigorous engineers who want to apply their research ability to problems where performance has immediate, measurable impact.What You’ll Work OnYou’ll research and build sophisticated quantitative models, develop novel approaches to prediction and optimization, and work across the full research lifecycle — from first-principles exploration and experimentation through implementation and production.The problems sit at the intersection of computer science, machine learning, statistics, optimization, and financial markets.Who We're Looking ForThe strongest candidates will typically have:PhD in Computer Science, Machine Learning, Statistics, Applied Mathematics, Physics, EECS, or a closely related technical fieldExceptional academic/research background with evidence of unusual technical depthStrong preference for a core Computer Science foundationDeep expertise in algorithms, machine learning, optimization, statistics, or computational methodsExcellent Python and/or C++ programming abilityTrack record of solving technically difficult, open-ended problemsPublications at leading research venues, significant open-source contributions, competitive programming, or other evidence of exceptional technical ability is highly valuedNo prior finance experience requiredWe’re especially interested in researchers who have spent their careers around exceptionally strong technical environments and are now curious what happens when that level of research rigor is applied to markets.Why Consider It?You’ll work alongside an unusually concentrated group of researchers and engineers, with significant autonomy, substantial compute and data resources, and a direct connection between the quality of your research and real-world outcomes.For the right person, compensation can reach the high six figures, with significant upside tied to individual and firm performance.If your background is unconventional but technically exceptional, we still want to hear from you.