Quantitative Trader / Researcher - EMEA

About the role

Design, implement, and deploy algorithmic trading strategies by researching high- to mid-frequency alpha and analyzing market behavior, market microstructure, and alternative data. Build data-analysis tools and analytical libraries, and develop, augment, and calibrate exchange simulators. A bachelor's, master's, or PhD degree in mathematics, statistics, computer science, or an equivalent STEM field is required, along with strong mathematical and statistical foundations. Candidates should have strong Python and/or C++ programming skills and experience with backtesting, simulation, statistical methods, and large-scale market or tick data; high-frequency or quantitative trading experience is preferred but not required.