– Using ML methods to develop and deploy statistical arbitrage strategies;
– Exploring new trading ideas by analyzing market data;
– Designing features and models to predict behavior of hundreds/thousands securities in 10 seconds-10 minutes timeframe with different underlying;
– Working with ML pipelines to help the strategy development process;
– Driving consistent optimization and advancement of existing models;
– Communicating with internal teams;
– Mentoring and (potentially) leading team members.