Role :-
Analyze datasets using machine learning/statistical/applied math/econometric techniques
Develop predictive signals for financial markets
Develop and rigorously test models
Develop trading algorithms for profitable implementation of models
Review academic literature and attend conferences in relevant areas such as empirical finance, market microstructure, machine learning, and computational statistics
Requirements:-
Ph.D. degree in Mathematics, Computer Science, Statistics, Physics, Electrical Engineering, or a related area
Demonstrable track record of excellence in your area of specialization
Experience with machine learning and statistical applications desirable
You must be able to code in either C++ / Python .