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    Systematic Quantitative Researcher - London, United Kingdom - Anson McCade

    Anson McCade
    Anson McCade London, United Kingdom

    5 days ago

    Default job background
    Description

    My client is a leading global systematic hedge fund, specializing in trading global equities and futures. They have a strong emphasis on quantitative research and data-driven strategies and are actively hiring within their London office. The team is at the forefront of innovation in systematic trading, utilizing cutting-edge technology and advanced analytical techniques to drive success in dynamic markets.

    Role Overview:

    The firm are seeking an experienced Quantitative Researcher to join their team in London. As a key member of the research team, you will play a crucial role in developing and implementing quantitative trading strategies across global equities and futures. The ideal candidate will have a proven track record in systematic trading, with a deep understanding of financial markets and quantitative analysis techniques.

    Responsibilities:

    • Conduct research to develop and enhance systematic trading strategies across equities and futures products.
    • Utilize quantitative techniques and statistical analysis to identify alpha signals and optimize trading models.
    • Collaborate closely with the senior quants to implement strategies and manage risk effectively.
    • Analyze market data, identify trends, and generate actionable insights to drive decision-making.
    • Experienced candidates with a strong track record will be given an allocation of risk to manage.

    Requirements:

    • Advanced degree in a quantitative discipline such as Mathematics, Statistics, Computer Science, Financial Engineering.
    • Prior experience in systematic trading, algorithmic trading, or quantitative research within a hedge fund or proprietary trading firm.
    • Strong programming skills in languages such as Python, R, or C++ for data analysis and model development.
    • Deep understanding of financial markets, trading dynamics, and risk management principles.
    • Excellent quantitative and analytical skills, with the ability to work with large datasets and complex models.
    • Effective communication skills and ability to collaborate in a fast-paced team environment.
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