Cubist Quantitative Researcher
Point72 Asset Management - Dubai, London, Paris, Hong Kong, Sydney, Toronto
Posted Aug 15, 2024
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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Schedule
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- Weekend work
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Application
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- Assessment
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- Deadline
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Where they hire
State eligibility is not yet verified.
About this role
Cubist Quantitative Researcher Dubai, London, Paris, Hong Kong, Sydney, Toronto ABOUT CUBIST Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources. JOB DESCRIPTION Researchers are responsible for independently conducting quantitative finance research with a focus on statistical and predictive models. Successful researchers manage all aspects of the research process including methodology selection, data collection and analysis, testing, prototyping, backtesting, and performance monitoring. Some successful researchers have joined us from similar backgrounds at other firms. Others have joined from related fields or directly from academia and have thrived with hands on guidance from our large team of experienced portfolio managers and researchers. Our most exceptional team members combine strong technical skills and a passion for problem solving with an intense curiosity about financial markets and human behavior. DESIRABLE CANDIDATES - MS or PhD candidates in finance, computer science, mathematics, physics, or other quantitative discipline - 3-7 years of experience in alpha driven quantitative research for equities, futures, fixed income, credit, and/or FX - Strong analytical and quantitative skills - Demonstrated ability to conduct independent research utilizing large data sets - Programming in any of the following: C++, Java, C#, MATLAB, R, Python, or Perl - Detail-oriented - Willing to take ownership of his/her work, working both independently and
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