The Firm A well-capitalised, technology-driven trading firm operating at significant scale across digital assets, derivatives and prediction markets. The firm runs proprietary systematic strategies across multiple asset classes with institutional-grade infrastructure and deep liquidity. This role sits within a dedicated sports prediction markets trading desk — a high-priority growth area for the business — and represents an opportunity to join at an early and formative stage of its development. The Role A specialist quant trading position focused on market making in sports prediction contracts. Operating at the intersection of data analytics, probabilistic modelling and live sports markets, you will be responsible for systematically providing liquidity, managing risk and identifying pricing inefficiencies across a broad range of sports events. The role demands deep domain knowledge of both sports and prediction market dynamics, combined with rigorous quantitative and execution capability. Responsibilities Systematically provide liquidity by posting buy and sell offers, managing spreads and facilitating efficient market operations across sports prediction contracts Continuously monitor sports prediction markets — including soccer, basketball, baseball, football and emerging eSports — for price movements, liquidity shifts and volatility patterns Monitor overall portfolio risk, position limits and exposure caps; adjust strategies in real time based on variance, probability shifts and new information Conduct pre-market and post-market analysis of upcoming sporting events, identifying key pricing opportunities and tail risks Place trades across multiple markets simultaneously, responding rapidly to changes in live odds, news flow and betting dynamics Test and provide liquidity for new sports contracts as they are listed (BAU trading operations) Analyse trade outcomes and refine predictive models for future events, including signal decay diagnostics and execution quality review Collaborate with developers and risk managers to improve trading infrastructure, including connectivity, pricing engines, execution logic and booking systems Prepare end-of-day performance summaries, risk reports and compliance documentation Requirements Degree in Mathematics, Statistics, Economics, Finance, Computer Science or a related quantitative discipline; advanced degree is a strong advantage 5 years of profitable sports prediction trading experience on a leading trading desk, proprietary trading firm or market making environment Deep understanding of sports prediction market mechanics, order flow dynamics, liquidity behaviour and pricing inefficiencies Demonstrable track record of building, managing and improving live trading strategies in competitive prediction or sports markets Strong probabilistic reasoning and statistical modelling skills; ability to translate real-time sporting data into actionable trading decisions Proficient in Python; genuine interest in expanding technical skill set including automation and model integration Experience with prediction market platforms, sports betting exchanges or similar financial environments Highly organised, detail-oriented and able to manage multiple live positions simultaneously under pressure Self-directed, adaptive and comfortable operating with significant autonomy in fast-paced, competitive environments What’s on Offer Highly competitive base salary with a substantial performance-based compensation component — structured to reward genuine trading edge Direct exposure to trading across multiple asset classes — including sports prediction markets, digital assets, derivatives and equities — within a single, institutionally scaled operation A clear and meritocratic career trajectory — traders with a strong track record are given increasing autonomy, capital allocation and leadership responsibility A collaborative, high-performance culture built around intellectual rigour, shared knowledge and continuous improvement Access to cutting-edge proprietary technology, deep liquidity and a globally connected trading operation