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    Macro Platform Engineer - New York, NY, United States - Selby Jennings

    Selby Jennings
    Selby Jennings New York, NY, United States

    5 days ago

    Selby Jennings background
    Full time Technology / Internet
    Description

    A top Multi-Strategy Hedge Fund in New York is looking to hire a Python Engineer to their Trading Data Team. The fund manages more than $15B in total assets under management, and runs fundamental and discretionary Equity and Global Macro strategies. The fund is known for their strong historical performance, internal investments into technology and innovation, and positive, employee-focused work culture.

    The individual will be a key engineer in building out a state of the art platform that data scientists, quant researchers, and investment teams can leverage to source macro trading investment data. The role will be quite hands on and will involve significant interaction working with the front office. The ideal candidate will have 5-10 years of experience, strong technical skills with Python and AWS, and experience working with front office trading or investment teams.

    Responsibilities:

    • Work closely with the broader engineering team to build and scale a high quality investment data platform
    • Develop solutions that leverage cloud-based data and distributed computing technologies
    • Develop an understanding of data requirements and utilization for systematic investing to help with design decisions
    • Consult with portfolio management teams to understand their infrastructure and tech requirements
    • Help drive the fund's cloud strategy and approach
    • Create high performance solutions to loading/serving large amounts of investment data

    Qualifications:

    • 5+ years of experience in Software Engineering
    • Computer Science Degree
    • Excellent coding skills in Python
    • Strong knowledge of cloud and working experience with AWS
    • Experience working closing with investment/trading teams
    • A passion for data and creating high quality data products
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