Salary: £130,000 - 140,000 per year Requirements: Strong programming skills in several of the following: Python, C#, C++, Java Advanced knowledge of mathematical modelling, statistics, and probability Proven analytical and problem-solving ability Experience working with large-scale data and data science methodologies Excellent communication and stakeholder engagement skills High level of accuracy and attention to detail Ability to work independently and within a collaborative team environment Genuine interest in sports analytics, trading, or betting markets A strong academic background in a quantitative discipline such as Mathematics, Statistics, Physics, Computer Science, or a related field MSc or PhD in Mathematics, Statistics, Computer Science, Physics, or another highly quantitative discipline is preferred Previous experience within sports trading, quantitative finance, betting analytics, or predictive modelling environments is beneficial Responsibilities: Analyse, interpret, and model large and complex datasets Develop and enhance quantitative models to support trading strategies and market analysis Apply statistical and probabilistic techniques to generate actionable insights Collaborate with traders, analysts, and software developers to improve systems and performance Identify new opportunities through data-driven research and innovation Contribute to the continuous improvement of analytical methodologies and tools Work closely with analysts, traders, and developers in a fast-paced, data-driven environment Take ownership of projects while contributing as a senior member of a collaborative team Technologies: C# Support Java Python Quant More: We are an innovative and high-performing team based in Central London, working with cutting-edge data and technology in one of the most exciting sectors in quantitative analytics. We offer a highly competitive salary, an exceptional office environment, and the opportunity to make a genuine impact on trading and decision-making processes. This is an excellent opportunity for a commercially aware quantitative professional who is intellectually curious, collaborative, and passionate about sports, data, and modelling. last updated 21 week of 2026