Qualifications
Desirable Qualifications:
- Bachelors, Masters or 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
- No prior experience in the investment field is required
Required Programming Skills:
- Proficiency in at least one major programming language such as C/C++, Java or Python
- Statistical programming skills using Python or R or Matlab a plus.
Roles & Responsibilities:
- 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
Be part of a new and growing team within the firm’s Quantitative Strategies Central Research group. Quantitative researchers develop alpha signals for global equities and futures markets using advanced mathematical and statistical techniques in conjunction with exceptional problem solving skills.
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