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    Quantitative Trader - London, United Kingdom - Quantitative Talent Ltd

    Quantitative Talent Ltd
    Quantitative Talent Ltd London, United Kingdom

    1 week ago

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    Description
    Senior Quantitative Researcher / Trader - London
    Our client is a global quantitative trading firm.

    The successful candidate will be responsible for developing and executing mid-frequency (minutes to days) futures trading strategies, leveraging advanced quantitative techniques and data analysis.

    Our client offers a highly competitive compensation package, including a base salary, performance-based bonus, and other benefits.

    Develop and implement HFT and/or MFT futures trading strategies, leveraging advanced quantitative techniques and data analysis

    • Conduct research and analysis to identify new trading opportunities and optimize existing strategies
    • Build and maintain trading models and algorithms, using programming languages such as C++, Python, or Java
    • Continuously monitor and evaluate trading performance and implement improvements as necessary
    • Collaborate with other traders and analysts to develop and refine trading strategies
    • Manage risk exposure and ensure compliance with relevant regulations and internal policies
    • Communicate trading ideas and strategies to other team members and senior management
    Minimum of 10 years of experience as a Quantitative Researcher and/or Trader specializing in HFT and/or MFT strategies at a reputable trading firm (max holding period 2 days)

    • Strong knowledge of relevant markets and related products, including algorithmic trading, statistical arbitrage, and market microstructure
    • Proven track record of success in generating profits through HFT and/or MFT trading strategies
    • Excellent analytical and quantitative skills, with a strong understanding of advanced mathematical concepts and statistical analysis
    • Extensive programming skills in languages such as C++, Python, Java, and/or Rust
    • Ability to work effectively in a fastpaced and dynamic trading environment
    • Bachelor's or Master's degree in a STEM field, such as mathematics, computer science, or finance;
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