25+ year track record of innovation with reputation Responsibilities Designing, implementing and deploying trading algorithms Researching high to mid frequency alphas Exploring trading ideas by analyzing market data, market microstructure and alternate data for patterns Creating tools to analyze data for patterns and developing data platforms Contributing to libraries of analytical computations to support market data analysis and trading Developing, augmenting and calibrating exchange simulators Qualifications A Bachelors, Masters or PhD degree in Mathematics, Statistics, Computer Science or equivalent STEM degree Experience in quantitative trading is preferred but not a requirement A strong background in mathematics and statistics Proficiency in back-testing, simulation, and statistical techniques (auto-regression, auto-correlation and Principal Component Analysis) Solid data-mining and analysis skills, including experience dealing with a large amount of data/tick data Familiarity with signal generation and statistical models Strong programming skills in Python or C++