Systematic Quant Researcher
On-siteNew York City, New York, United States or New York, United States
Job Summary
Develop trading strategies from idea generation through data collection, analysis, and model creation. Design experiments to test market hypotheses using quantitative techniques on large datasets, advancing existing initiatives and pursuing new research topics. Exploit statistically-based predictive signals associated with market inefficiencies to improve profitability through historical trading analysis. Candidates require an MS or PhD in Mathematics, Physics, Computer Science, or related fields, along with experience handling large datasets and intermediate programming skills in Python, C++, or Matlab. Top university graduates from academia or technology sectors are welcome. Excellent compensation is offered for the right candidate.
Required Qualifications
- MS or PhD in a quantitative field and/or scientific discipline such as Mathematics, Physics, Computer Science, Machine Learning, or Electrical Engineering from a top university
- Experience working with large data sets
- Intermediate programming skills (C, or C++, Matlab, R, python)
- Exceptional knowledge of mathematical and statistical methods
- Ability to solve complex problems
- Ability to work independently and as part of a team in an open and collaborative environment
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