Our quantitative research associates solve mathematical puzzles found in the financial marketplace and process vast amounts of data in order to identify profitable trading opportunities.

Jumping between machine-driven data analysis and human thought, our quants find meaningful relationships among financial products by generating, testing, and challenging their own hypotheses to create or improve complex trading strategies.

Our quant research team includes 50 PhD level scientists from a diverse range of backgrounds, including academia, government research labs, mathematics, physics, and computer science. Their education continues through the collective knowledge of the firm: they learn about financial markets, hone their quantitative modelling skills, and receive training in decision science and game theory.

They find meaningful relationships among financial instruments by generating, testing and challenging their own hypotheses, and use such findings to create or improve complex trading strategies. Quants work closely with traders and technologists to put these strategies to work in the marketplace and analyse the results of the trading that we do. Our quants also benefit from the collective knowledge of the firm: they learn about financial markets, hone their quantitative modelling skills and receive formal coding training.