Job description
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 .
Apply:-
Please send a PDF resume to quants@ekafinance.com