Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Manage sports betting odds using AI tools and real-time data for optimal performance.
- Company: Join MetaWin, a leading sportsbook with a focus on innovation and technology.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Be at the forefront of sports trading, combining your passion for sports with cutting-edge technology.
- Qualifications: 2-5 years of sports trading experience and proficiency in AI tools and data analysis.
- Other info: Dynamic work environment with a focus on collaboration and continuous improvement.
The predicted salary is between 40000 - 50000 £ per year.
The Role
As a Sports Trader at MetaWin, you will be central to the performance and profitability of our sportsbook. You will leverage Sportradar's industry-leading technology including MTS and CTRL alongside AI-powered analytics tools to manage pricing strategy, monitor market movements, control exposure, and drive sustainable margin across all sports and betting products. This is not a passive, system-dependent role. We expect our traders to be intelligent operators: using AI as a co-pilot, applying human judgment where it counts, and continuously improving the way we trade.
Key Responsibilities
- Trading & AI-Augmented Pricing: Set and dynamically adjust odds across a wide range of sports and markets using Sportradar's MTS and CTRL, calibrated against AI-driven pricing models and predictive market signals. Use machine learning insights and real-time data feeds not just reactively, but interrogatively identifying edges and inefficiencies before the market does. Ensure pricing accuracy and consistency across internal products and external partner integrations.
- Risk & Exposure Management: Monitor real-time liabilities and act as an intelligent human-in-the-loop layer over AI-generated risk alerts, knowing when to trust the model and when to override it. Implement proactive risk provisions using customer profiling data and automated flagging from Sportradar, OBT, and internal systems. Protect sportsbook margin while maintaining a competitive, customer-first product.
- Data Analysis & AI-Powered Insight: Leverage AI tools, BI platforms, and Sportradar's analytics dashboards to surface patterns, anomalies, and performance trends at speed and scale. Use prompt engineering and AI-assisted reporting to generate high-level KPI analysis for senior management, faster and smarter than traditional methods allow. Detect and escalate irregular betting patterns indicative of abuse or fraud.
- Live Trading Operations: Operate during live events with precision and composure, adjusting odds in real time based on live data feeds, AI-assisted pattern recognition, and evolving risk positions. Manage the live booking calendar (LBC) to ensure content remains relevant and engaging. Maintain full uptime and responsiveness during high-liquidity events, major matches, finals, and tournaments.
- Collaboration & Communication: Work cross-functionally with product, development, operations, risk, and marketing teams to integrate trading logic and AI driven data requirements. Partner with marketing on price boosts, trading specials, and player engagement initiatives. Mentor internal stakeholders on best practices, trading workflows, and the intelligent use of AI tooling.
Required Experience & Skills
- 2–5+ years of sports trading experience within an online sportsbook or retail operator environment.
- Proven, hands-on experience with Sportradar services: Odds Solutions, Live Data, MTS, and CTRL.
- Demonstrable use of AI tools to enhance trading efficiency, reporting, or decision-making.
- Proficiency in Excel (advanced formulas and data modelling); SQL and BI platform experience highly advantageous.
- Strong knowledge of high-volume sports: football, tennis, and basketball.
- Exceptional numerical and analytical ability with a high-pressure decision-making track record.
- Clear, confident communicator, able to translate complex data into actionable insights for non-technical stakeholders.
Nice-to-Have
- Experience with alternative data providers (Genius Sports, TxODDS, L-sports).
- Familiarity with AI augmented trading systems, automated pricing engines, or algorithmic trading logic.
- Strong understanding of American sports markets: NFL, NBA, NHL, and MLB.
- Experience in collegiate sports markets.
Who You Are
You're a sports-obsessed, data-driven professional who sees AI not as a threat to your role, but as the sharpest tool in your kit. You're resilient under pressure, rigorous in your analysis, and always looking for the smarter way to do things. You hold yourself to high ethical standards and take pride in the quality of your work.
Sports Trader in City of London employer: Arena Entertainment
Contact Detail:
Arena Entertainment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Sports Trader in City of London
✨Tip Number 1
Get to know the company inside out! Research MetaWin's culture, values, and recent news. This will help you tailor your conversations and show that you're genuinely interested in being part of their team.
✨Tip Number 2
Network like a pro! Connect with current or former employees on LinkedIn. Ask them about their experiences and any tips they might have for landing a role as a Sports Trader. Personal connections can make a huge difference!
✨Tip Number 3
Prepare for the interview by brushing up on your sports knowledge and data analysis skills. Be ready to discuss how you've used AI tools in your previous roles and how you can apply that experience at MetaWin.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're serious about joining the team at MetaWin.
We think you need these skills to ace Sports Trader in City of London
Some tips for your application 🫡
Show Your Passion for Sports: Let us know how much you love sports! Share your experiences and insights that showcase your enthusiasm. We want to see that you're not just a numbers person, but someone who lives and breathes the game.
Highlight Your Analytical Skills: Make sure to emphasise your analytical abilities in your application. Talk about your experience with data analysis, AI tools, and how you've used them to make informed decisions in trading. We’re looking for those who can turn data into actionable insights!
Be Clear and Concise: When writing your application, keep it clear and to the point. Use straightforward language to explain your skills and experiences. We appreciate a well-structured application that gets straight to the heart of what makes you a great fit for the role.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at MetaWin!
How to prepare for a job interview at Arena Entertainment
✨Know Your Sports Inside Out
Make sure you brush up on your knowledge of the sports you'll be trading. Understand the nuances of football, tennis, and basketball, as well as any recent trends or major events. This will not only help you answer questions confidently but also show your passion for the role.
✨Familiarise Yourself with AI Tools
Since the role heavily involves AI-powered analytics, take some time to get comfortable with the tools mentioned in the job description, like Sportradar's MTS and CTRL. Being able to discuss how you've used AI in past roles or how you plan to leverage it can set you apart from other candidates.
✨Prepare for Real-Time Scenarios
Expect to be tested on your ability to make quick decisions under pressure. Practise scenarios where you have to adjust odds based on live data feeds. This will demonstrate your composure and analytical skills during the interview.
✨Showcase Your Communication Skills
As a Sports Trader, you'll need to communicate complex data insights clearly. Prepare examples of how you've translated technical information for non-technical stakeholders in the past. This will highlight your ability to collaborate effectively across teams.