Quantitative Researcher – Equities
IMC Trading - New York, United States
Posted Aug 21, 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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- Salary
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- 401(k) match
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Schedule
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- Weekend work
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Application
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- Deadline
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Where they hire
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About this role
Quantitative Researcher – Equities New York, United States IMC is looking for experienced quantitative researchers to develop high-frequency, low-latency equity trading strategies and predictive models. Candidates will join an effort of combining IMC's extensive options expertise with signals in the underlying equity market. Candidates will be responsible for performing large scale data analysis to derive unique predictions of equity market behavior that will then be leveraged by IMC's best-in-class technology to act on those predictions across both options and equities markets. Once on board, candidates will join a growing team that will be essential to all aspects of IMC's trading. They will contribute not only to signal generation but also work w/ developers in design and implementation of a robust framework that allows for new ideas to be researched, tested, and put into production in a timely manner. Your Core Responsibilities: - Understand the current suite of models and algorithms to make any short-term improvements while building a foundation to further leverage these models - Find innovative ways to monetize existing algorithms through specific deep-dives and broad data analysis - Rapidly research, test, and prototype new algorithmic ideas, preferably with Python - Once validated, see through the high quality implementation of ideas to full-scale production trading Your Skills and Experience: - 3+ years experience as a quantitative researcher with specific experience in the equity option or equities space - Experience with equity signal generation and predictive modelling. [required] - Relevant tertiary qualifications (graduate or post graduate), with strong academic results,
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