<?xml version="1.0" encoding="utf-8"?>
<rss version="2.0">
  <channel>
    <title>Sports Trading Quantitative Analyst - Spectrum IT Recruitment RSS Feed</title>
    <link>https://jobs.co.uk/job/sports-trading-quantitative-analyst-spectrum-it-recruitment--9c1c91a0-3e25-4294-882a-0b7a93c54a9a</link>
    <description>RSS feed for Sports Trading Quantitative Analyst at Spectrum IT Recruitment.</description>
    <language>en-gb</language>
    <lastBuildDate>Tue, 18 Aug 2026 22:40:51 GMT</lastBuildDate>
    <item>
      <title>Sports Trading Quantitative Analyst - Spectrum IT Recruitment</title>
      <link>https://jobs.co.uk/job/sports-trading-quantitative-analyst-spectrum-it-recruitment--9c1c91a0-3e25-4294-882a-0b7a93c54a9a</link>
      <guid>https://jobs.co.uk/job/sports-trading-quantitative-analyst-spectrum-it-recruitment--9c1c91a0-3e25-4294-882a-0b7a93c54a9a</guid>
      <pubDate>Mon, 17 Aug 2026 23:00:00 GMT</pubDate>
      <description>Location: City of London | Salary: &amp;pound;90000 - &amp;pound;100000/annum | Type: Permanent | An excellent opportunity has arisen for a Quantitative Analyst to join a highly talented team within the sports trading industry in central London.  You will work with large and complex datasets, developing quantitative models and using statistical analysis to identify patterns, trends and opportunities within sports data. Working closely with experienced analysts, developers and trading teams, you will play an important role in improving models and supporting data-driven decision-making.  This is an exciting opportunity for a quantitatively minded individual who is passionate about mathematics, statistics, data and sport and wants to develop their career within a fast-paced sports trading environment.   Key Responsibilities    Analyse and interpret large and complex sports datasets.  Develop and improve mathematical and statistical models.  Apply probability and statistical techniques to sports data.  Identify patterns, trends and opportunities within large datasets.  Work closely with analysts, developers and traders to improve quantitative models.  Use data science techniques to support trading strategies and decision-making.  Build, test and validate models using historical and...</description>
      <category>Permanent</category>
    </item>
  </channel>
</rss>