Quant Developer - Research Engineering

About the role

Partner with quantitative researchers and traders to build and operate research data, tooling, compute, pipelines, and backtesting frameworks. Productionize research prototypes, maintain shared datasets, optimize numerical code, migrate pipelines to modern data platforms, and develop model evaluation tools. Requires production-level Python skills, including NumPy, pandas, vectorization, and profiling, working proficiency in C++, and strong quantitative foundations in statistics, probability, regression, and time series. Candidates should have strong software design and data-pipeline experience, plus the ability to translate ambiguous research needs into practical solutions and collaborate directly with quants and traders.