Job listing
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Python Strategy Developer
NYC 400-600KWork with Front Office Portfolio Management Team to build and deploy Systematic Trading Strategies for a growing Systematic Hedge Fund based in NYC.
Experience with Python and Financial Market Data
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Quantitative Researcher
NYC or SF Bay Area 400-800KOur 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 candidate’s 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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Senior Futures Quantitative Researcher/Strategy Developer
NYC or Chicago $400K + Our client is looking to hire a highly talented Senior Futures Quantitative Researcher/Strategy Developer to join our team. more → -
Quantitative Researcher/Strategist
Chicago or NYC $400-600K Our client is looking for a Quantitative Researcher/Strategist to join an Equities Automated Trading team. This is an opportunity to leverage your expertise to build out an emerging business group at a prestigious prop trading firm. more → -
Quantitative Researcher
Chicago, IL $400K +Our client is seeking exceptional Quantitative Researchers to create and improve proprietary trading models and strategies while working closely with engineers and senior leaders across the firm. Quantitative Researchers within the company work on a variety of trading strategies and research projects, with the opportunity to conduct independent research and originate research topics over time.
Specific responsibilities range from utilizing financial and other data in an effort to create or improve predictive models, developing and/or leveraging leading-edge statistical and machine-learning models to enhance the research and development system, creating algorithms to monetize the predictive signals.
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