Quantitative Researcher

We are currently partnered with an established proprietary trading firm in London, who are looking to hire a Quantitative Researcher to join their growing systematic sports trading business. The firm operates a lean, highly profitable trading team, deploying quantitative and statistical models across global sports markets. With established and successful live strategies, they are looking to expand their research capabilities, develop new predictive models and diversify into additional sporting markets. This is a fantastic opportunity for a Quantitative Researcher looking for direct exposure to live trading, significant strategy ownership and the ability to see their research directly impact PnL. The firm offers a highly collaborative environment and excellent compensation. Requirements:

• Strong quantitative research background, ideally within sports betting, proprietary trading or systematic trading.
• Experience developing, backtesting and deploying predictive models or systematic trading strategies.
• Advanced Python programming skills, alongside a strong understanding of statistics, probability and machine learning.
• Master's or PhD in Mathematics, Statistics, Computer Science or a related quantitative discipline.
• Experience working with large datasets, statistical modelling and data-driven research.
• Prior sports betting or sports modelling experience is highly desirable, particularly for candidates without a PhD.