Our client is looking for a quantitative researcher to work within a low latency machine learning trading team that currently researches and builds low latency trading models in the liquid futures space. The candidates primary responsibilities will include researching and implementing fully automated systematic futures signals and strategies with short to medium horizon. Suitable candidates will generally have at least 5 years of comparable quantitative research experience.
5+ years of experience researching low latency futures signals and strategies
MSc or PhD from a top institution is preferred
Strong preference for advanced degrees in a cutting edge quantitative field
Excellent understanding of probabilities, statistics and optimization
Experience manipulating large datasets, including tick-level data
Excellent programing skills: experience with both high-level - either Python, R, Julia as well as a lower-level languages - C or C++
NYC or SF Bay area
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