Quantitative Trading Specialist

We're expanding a successful sports quant strategy. We're looking for quantitative analysts and traders who have the skills to identify value signals, develop strategies to exploit those signals, back test them, operationalise those strategies, and manage risk live in real time. The ideal candidates will be able to deliver all stages of the strategy realisation pipeline, but we will consider candidates who are able to demonstrate expertise in some parts of it. Candidates must have a keen interest in sports and demonstrate significant domain knowledge, with sport context and knowledge of betting markets. Trade sporting markets live, pre-match and in-play, taking ownership of pricing, positioning, and risk management in real time. Set and adjust prices in response to market moves, news, and in-game events, balancing competitiveness against edge. Turn value signals into executable trading strategies, and refine them based on live performance and market feedback. Back test and validate strategies before deployment, then operationalise them into automated or semi-automated trading workflows. Monitor markets and model outputs live, spotting mispricing, adverse selection, and opportunities as they emerge. Work closely with quants and engineers to translate trading intuition into models, tooling, and process improvements. Contribute to the acquisition, cleaning, and interpretation of data where it supports pricing and trading decisions. Strong trading instinct and comfort making pricing and risk decisions under time pressure and uncertainty. Knowledge of sports rules, player dynamics, and team strategies, plus a solid grasp of how its betting markets behave. Sound quantitative and statistical foundation, enough to interrogate models, understand their assumptions, and know when to trust or override them. Strong attention to detail and the ability to retain and act on information quickly. Strong communication and collaboration skills. Positive 'can do' attitude and the ability to meet deadlines. Willingness to learn and adapt to new environments. Nice to have skills: Experience trading or market-making in betting, gaming, or financial markets (in-play or live trading a strong plus). Proficiency in an analytical programming language (Python, R or similar). Proficiency in production ready engineering (Architecture, low latency systems, Java or C++) BSc in mathematics, statistics, computer science, engineering, or another quantitative discipline.