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 specializationExperience with machine learning and statistical applications desirableYou must be able to code in either C++ / Python .Apply : -
Please send a PDF resume to quants@ekafinance.com