This is an opportunity for students and researchers of advanced data modeling and statistical learning methods to apply these techniques to market prediction and systematic trading.
JOB RESPONSIBILITIES
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Pre-process (validate, clean, normalize, reduce dimension) very large data sets for model estimation and event studies
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Identify features and relationships useful for the predictive modeling of market dynamics
DESIRABLE CANDIDATES
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MS, or PhD candidates in finance, computer science, mathematics, physics, or other quantitative discipline
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Programming in any of the following: C++, Java, C#, MATLAB, R, Python, or Perl
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Strong analytical and quantitative skills
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Demonstrated interest in financial markets and systematic trading
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Clear, concise, and proactive communicator
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Detail-oriented
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Willing to take ownership of his/her work, working both independently and within a small team