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    Research Engineer - New York, NY, United States - Selby Jennings

    Selby Jennings
    Selby Jennings New York, NY, United States

    1 week ago

    Selby Jennings background
    Technology / Internet
    Description

    Are you ready to join a cutting-edge quantitative trading firm? We are currently working with a leading systematic hedge fund looking to grow its Research Engineering team in NYC. Founded by a household name in the industry, the fund has a reputation for innovation and a collaborative methodology. This Research Engineer roles offer the opportunity to work closely with the fund's Quant Researchers, playing a meaningful role in the fund's revenue generation.

    Role Overview:

    • Collaboration and Innovation: Engage with senior researchers to explore novel ideas, conduct extensive experiments, and develop scientific libraries that disseminate transformative findings.
    • Development and Implementation: Build essential tools and engines that operationalize sophisticated platforms and models into active trading scenarios.
    • Ownership and Growth: Gradually assume responsibility for research projects, from ideation through to execution, demonstrating your ability to lead and innovate.

    Technical Skills Required:

    • Expertise in Python and C++
    • Familiarity with tackling large-scale parallel computational issues
    • Numeracy skills relevant to software development for research applications
    • Experience in quantitative trading environments is advantageous
    • A commitment to iterative development and clean coding practices

    Candidate Profile:

    • Action-oriented with a strong initiative
    • Driven by responsibility and urgency
    • Independent in seeking optimal solutions
    • Prefers a collaborative team setting focused on achieving research goals
    • Thrives in ambitious and dynamic environments

    This opportunity is an ideal next step for a talented Research Engineer or Quantitative Developer who is looking to develop a more complete understanding of the investment decision-making process in a truly collaborative environment.

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