Susquehanna International Group, LLP

  • Quantitative Researcher - Sports analytics and Geo-political

    Job Locations Dublin, Ireland
    Requisition ID
    2018-3858
    Experience Level
    Experienced
    Job Categories
    Trading
  • Overview

    Nellie Analytics, Inc. – an affiliate of SIG – is focused on geo-political and sports analytics. Due to our continued growth we are now looking looking for someone with an understanding and interest in sports analytics to join our Quantitative Research team.

    Quantitative Researchers at SIG use research to better understand markets and to identify, develop and improve strategies for the firm

    This is an exciting opportunity to be part of an early stage initiative and be an influencer to help shape new product development as the business opportunity evolves. 

     

    What you’ll be part of:

      

    This is a research, development and modelling role in which you will use your background in mathematics and statistics to seek out reliable, timely sports data to clean, analyse, and transform into algorithms and strategies.  This position will likely require intermittent international travel.

     

    As a Quant researcher with Nellie, you will strengthen our team with your experience working with data especially the nitty gritty part of data filtering.

    Tasks will include: 

    • Diagnostics’ of models to understand trading problem and perform rudimentary code fixes
    • Analyse, refine and maintain our strategies backtesting changes to improve performance.
    • Working closely with fellow traders, quants and developers to improve our mathematical models and software.
    • Analyse past trades and historical data in a constant search for improvement.

    What we’re looking for

    • Bsc in STEM concentration; PHD preferred
    • Interest in sports data/analytics with an understanding of US Sports--NFL, NBA, MLB, NHL and Tennis
    • Data mining and modelling experience
    • Practical programming experience in Python, Matlab, and/or R
    • Exceptional quantitative, logical reasoning, and analytical skills
    • Ability to in a fast-paced environment is essential
    • Willingness to be flexible with hours and schedule is essential
    • Strong interpersonal and communication skills
    • Attentiveness and ability to react to changing priorities and manage multiple tasks simultaneously is essential.

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