Quant Trader (Sports Event Market Making)

Medium; Greater London; On-site; GBP 60,000 - 80,000; Full time

Job summary

A leading sports trading firm in Greater London seeks an experienced Sports Prediction Market Trader to excel in market-making, data analytics, and risk management. The ideal candidate will have a strong background in profitable sports prediction trading, coupled with excellent analytical and organizational skills. Responsibilities include monitoring market activity, placing trades, and collaborating with team members to refine trading strategies. This role offers an exciting opportunity for those with a passion for sports and finance.

Qualifications

• 5+ years of profitable sports prediction trading experience in trading desks or financial environments.
• Familiarity with prediction market platforms or sports betting exchanges.
• Strong attention to detail and adaptive in fast-paced environments.

Responsibilities

• Market-making through systematic buy and sell offers.
• Monitor sports prediction markets for opportunities and risks.
• Collaborate to improve trading infrastructure.

Skills

Data analytics

Financial expertise

Market-making

Critical thinking

Organizational skills

Interpersonal skills

Python

Education

Bachelor’s degree in Mathematics, Statistics, Economics, Finance, or Computer Science

Job description

A Sports Prediction Market Trader operates at the intersection of data analytics, financial expertise, and a passion for sports. This role involves market-making in sports prediction contracts and managing risk in sports prediction markets. The trader’s objective is to leverage their understanding of both sports and market dynamics to maximize profits while carefully managing risks.

Key Responsibilities

• Market Making and Trade Execution: Systematically providing liquidity by posting buy and sell offers, narrowing spreads, and facilitating efficient market operations as appropriate.
• Market Analysis: Continuously monitor a wide range of sports prediction markets—including but not limited to soccer, basketball, baseball, football, and emerging eSports for price movements, liquidity, and volatility. Analyze historical data, trends, and live odds to identify trading opportunities.
• Risk Management: Monitor overall portfolio risk, position limits, and exposure caps to stay within risk tolerance. Adjust strategies based on variance, probability shifts, and new information.
• Trading Operations (BAU): Test and provide liquidity for new sports contracts when listed.
• Trading Development: Collaborate with developers and risk managers to improve the trading infrastructure, including connectivity, pricing, execution, and booking logic.

Qualifications and Requirements

• Bachelor’s degree in Mathematics, Statistics, Economics, Finance, Computer Science, or a related discipline. Advanced degrees are an asset.
• 5+ years of profitable sports prediction trading experience on a leading trading desk in a bank, proprietary trading firm, or market‑making shop.
• Demonstrated experience in successfully building and managing trades.
• Familiarity with Python and a keen interest in expanding your technical skillset.
• Strong critical thinking skills and a commitment to continuous improvement.
• Excellent organizational and interpersonal skills, with strong attention to detail.
• Adaptive, self‑motivated, enjoy challenges and responsibility, and thrive in fast‑paced, competitive environments.
• Experience with prediction market platforms, sports betting exchanges, or similar financial environments.
• Ability to work effectively under pressure and in dynamic, fast‑paced environments.

Typical Day-to-Day Activities

• Monitor 24/7 market activity and update trading models with the latest data in collaboration with the team.
• Conduct pre‑market and post‑market analyses of upcoming sporting events, identifying key opportunities and risks.
• Place trades across multiple markets, responding to changes in live odds, news reports, and betting flows.
• Communicate with team members to discuss strategies, notable events, and market shifts.
• Monitor active positions, adjust orders, and hedge exposures throughout the day.
• Analyze trade outcomes and refine predictive models for future events.
• Prepare end‑of‑day summaries, performance reviews, and compliance reports.