Manage all aspects of the research process, including data analysis, alpha signal discovery, backtesting, trading idea generation, alpha signal/portfolio analysis and the management of production code
Design, implement, and optimize various machine learning models aimed at predicting liquid assets using a wide set of financial data and a vast library of trading signals
Evaluate new datasets for alpha potential
Parse data sets to be used for future alpha (strategy) development
Investigate and implement state-of-the-art academic research in the field of quantitative finance
Collaborate with experienced and resourceful quantitative researchers to carry out experiments and test hypothesis using simulations