Quantitative Researcher

About the role

Develop predictive signals from large, noisy datasets and build, test, and validate models with attention to statistical robustness, overfitting, and transaction costs. Collaborate with portfolio managers, traders, and engineers to deploy research into production, then monitor live performance and investigate differences between expected and realized behavior. Applicants need a bachelor's, master's, or PhD from a leading university in a highly quantitative discipline, an exceptional academic record, strong C++ or Python programming ability, and a rigorous foundation in probability, statistics, and linear algebra. Preferred qualifications include a quantitative PhD with a strong research record, relevant internship experience, outstanding competition results, or experience applying machine learning to low-signal-to-noise data.