Systematic Fast Trading Intern

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    Man Group

    1,001-5,000 employeesFounded 1783London, LondonInvestment Management
    Actively hiringPaidSummer 2027Investment Management
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    Best applied by Oct 26

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    About the role#

    The Fast Trading Strategies (FTS) team develops high-frequency trading strategies across all asset classes. We manage a large portfolio across global futures and cash markets. This role is based in our New York office, which focuses on high-frequency alpha research, trading, and infrastructure. This is a full-time summer internship for penultimate year students.

    What you'll do#

    • Develop high-frequency trading strategies and build a customized monetization stack.
    • Capture fast alphas using machine learning, event-driven techniques, and microstructure analysis.
    • Optimize trading and order placement using dedicated high-frequency infrastructure.
    • Perform high-frequency tick data analysis to predict asset returns.
    • Convert models into profitable trading strategies while collaborating with MLOps to deploy them.

    What you'll need#

    • You are currently a PhD student in a highly technical degree program, such as Computer Science, Data Science, Mathematics, Physics, Computer Engineering, or Electrical Engineering.
    • You are in your penultimate year of study.
    • You have strong programming skills in multiple languages, with a focus on Python.
    • You possess knowledge of machine learning algorithms and research processes.
    • Previous ML or statistical research internship experience in finance, technology, or academia is preferred.

    Location & details#

    • Location: New York, New York, USA.
    • Term: Summer 2027.
    • Modality: On-site.
    • Compensation: This is a paid internship.

    About Man Group

    Man Group is an investment management firm based in London. Founded in 1783, the company manages 172.6 billion dollars in assets. It provides services to clients through systematic, discretionary, and solutions offerings. The firm operates globally with a staff size between 1,001 and 5,000 employees.

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