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    Quantitative Researcher - London, United Kingdom - Millennium Management

    Millennium Management
    Millennium Management London, United Kingdom

    1 week ago

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    Description
    Quantitative Researcher / Developer

    We are seeking a Quantitative Developer/Researcher with 3-5 years of experience to become part of a medium-sized, collaborative team within an Equities trading business. Prior experience within Equities is necessary. The ideal candidate will have a strong understanding of financial concepts, as well as advanced knowledge of Python, and practical experience with machine learning tools. Working proficiency of Linux, Git, and SQL are a plus.

    To be successful in this role, you should have a strong mathematical and statistical background, excellent problem-solving skills, and a passion for staying up-to-date with the latest technologies and techniques in the field.

    Principal Responsibilities

  • Design, build, and maintain an efficient research pipeline and tools for data processing, strategy simulation, and alpha generation.
  • Architect and develop a tick-by-tick back testing and research platform for equities.
  • Design and continuously optimize large-scale parallel computing systems.
  • Assist in designing and optimizing a machine learning platform to improve efficiency and computing performance.
  • Collaborate with the Senior Portfolio Manager and other team members in a transparent environment, specifically collaborating across books and engaging with the whole investment process

    • Preferred Experience

  • 3-5 years of professional experience as a Quantitative Developer/Researcher in a trading/technology environment (banks, hedge funds, asset management, technology firms, etc.)
  • Experience dealing with market microstructures and tick data.
  • Demonstrated ability to conduct independent research
  • Bachelor's degree in Computer Science or a related quantitative discipline.

    • Preferred Technical Skills

  • Professional coding experience in Python.
  • Working proficiency in Linux, Git, and SQL.
  • Strong knowledge of data structure and algorithms
  • Collaborate with the Senior Portfolio Manager and other team members in a transparent environment, specifically collaborating across books and engaging with the whole investment process

    • Highly Valued Relevant Experience

  • Experience in high-performance computing and efficient database management.

    • Other Relevant Skills and Experiences

  • Strong English language written and oral communication skills.

    • Target Start Date

  • As soon as possible
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