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For Companies At a Glance
- Tasks: Trade sports prediction markets, analyse data, and manage risks to maximise profits.
- Company: Join a leading trading firm at the forefront of sports market making.
- Benefits: Competitive salary, flexible hours, and opportunities for professional growth.
- Why this job: Combine your passion for sports with data analytics in a fast-paced environment.
- Qualifications: Degree in relevant fields and 5+ years of trading experience required.
- Other info: Dynamic team culture with a focus on innovation and continuous improvement.
The predicted salary is between 36000 - 60000 ÂŁ per year.
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.
Quant Trader (Sports Event Market Making) employer: Medium
Contact Detail:
Medium Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quant Trader (Sports Event Market Making)
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend sports trading events, and connect with fellow traders on platforms like LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your trading strategies, market analyses, and any successful trades you've made. This will give potential employers a clear picture of what you bring to the table.
✨Tip Number 3
Stay updated on market trends! Regularly read up on sports analytics, financial news, and emerging eSports markets. Being knowledgeable about current events will help you stand out during interviews and discussions.
✨Tip Number 4
Apply through our website! We love seeing passionate candidates who are eager to join our team. Make sure to tailor your application to highlight your experience in sports prediction trading and your technical skills.
We think you need these skills to ace Quant Trader (Sports Event Market Making)
Some tips for your application 🫡
Show Your Passion for Sports: When you're writing your application, let your love for sports shine through! We want to see how your enthusiasm for the game translates into your trading strategies and market insights.
Highlight Relevant Experience: Make sure to detail your past trading experiences, especially in sports prediction markets. We’re looking for those 5+ years of profitable trading, so don’t hold back on showcasing your successes!
Demonstrate Your Analytical Skills: Since this role is all about data analytics, be sure to mention any specific tools or methodologies you’ve used. If you’ve got experience with Python, give us the details on how you've applied it in your trading!
Tailor Your Application: Take the time to customise your application for us. Refer to the job description and align your skills and experiences with what we’re looking for. And remember, applying through our website is the best way to get noticed!
How to prepare for a job interview at Medium
✨Know Your Sports Inside Out
Make sure you brush up on your knowledge of various sports, especially those mentioned in the job description. Be prepared to discuss recent games, player statistics, and market trends. This will show your passion for sports and your ability to analyse data effectively.
✨Demonstrate Your Analytical Skills
Come equipped with examples of how you've used data analytics in your previous roles. Be ready to explain your thought process when identifying trading opportunities or managing risks. This will highlight your critical thinking skills and your experience in market analysis.
✨Showcase Your Technical Proficiency
Since familiarity with Python is a requirement, be prepared to discuss any relevant projects or experiences where you've used programming to enhance trading strategies. If you have any coding samples or projects, bring them along to demonstrate your technical skills.
✨Prepare for Scenario-Based Questions
Expect questions that put you in hypothetical trading situations. Practice how you would respond to sudden market changes or unexpected news. This will help you showcase your risk management abilities and your capacity to thrive under pressure.
