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Quant Trader (Sports Event Market Making)
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Quant Trader (Sports Event Market Making)
Job summary
A global finance company located in London is seeking a Quant Trader focused on sports event market making. This role involves analyzing sports prediction markets, executing trades, and managing risk effectively. The ideal candidate will have at least 5 years of experience in trading, a strong educational background in quantitative fields, and a keen ability to work under pressure. This position offers a dynamic work environment with competitive opportunities in the trading sector.
Qualifications
- 5+ years of profitable sports prediction trading experience.
- Excellent organizational and interpersonal skills.
- Ability to work effectively under pressure.
Responsibilities
- Systematically providing liquidity by posting buy and sell offers.
- Continuously monitor sports prediction markets for price movements.
- Monitor overall portfolio risk and exposure caps.
Skills
Education
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.
- 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 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
- 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
- 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
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.