Quantitative Trader / Researcher - US

About the role

Design, implement, and deploy algorithmic trading strategies, researching high- to mid-frequency alpha opportunities using market behavior, market microstructure, and alternative data. Build data analysis tools and platforms, contribute 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; quantitative trading experience is preferred but not required. Candidates should have strong mathematical and statistical foundations, experience with back-testing, simulation, statistical methods and large datasets, familiarity with signal generation and statistical models, and strong Python or C++ programming skills.