T
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
Job ID SHM
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Eka Finance is a leading global quantitative finance recruitment consultancy in the banking and finance industry. We offer front office recruitment so...
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