At a Glance
- Tasks: Design and maintain a cutting-edge pricing engine for sports markets.
- Company: Join a forward-thinking company at the forefront of sports trading technology.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Dynamic work environment with high-stakes challenges during major sporting events.
- Why this job: Be part of an innovative team shaping the future of sports betting.
- Qualifications: Strong understanding of sports analytics and experience in building trading systems.
The predicted salary is between 60000 - 80000 £ per year.
About the role: You will help design the engine powering OG.com’s liquidity. You’ll build and maintain a system for continuous, two-way quotes across thousands of simultaneous markets, bridging high-level theory and production-grade automation.
Focus: Architecting a multi-market autonomous pricing engine.
Responsibilities:
- Autonomous Live Valuation: Engineer the logic synthesizing real-time sports data, player metrics, and market feeds into fair-value anchors and dynamic, real-time spreads.
- Liability & Inventory Skewing: Build self-correcting models that automatically adjust odds based on book exposure and lopsided betting volume to incentivise balancing the book.
- Defensive Design & Sharp Mitigation: Implement high-velocity protocols to mitigate adverse selection from 'sharp' action, court-siding, and information asymmetry in milliseconds.
- Risk Automation & Hedging: Define the algorithmic logic for warehousing sports risk internally versus routing and hedging exposure across external exchanges and market makers.
- Technical Translation: Convert complex sports pricing strategies and mathematical models into scalable requirements for data and platform engineering teams.
- Trading Desk Guardrails: Partner with the risk desk to define the engine’s operational boundaries, maximum liability thresholds, and automated kill-switches.
- Real-Time Leadership: Act as the technical anchor during high-leverage sporting events, providing rapid calibration and manual intervention when the system is under peak pressure.
Requirements:
- Quantitative Sports Fluency: Deep understanding of probability, binary prediction contracts, and sports analytics; treating every match, inning, or political event as a shifting probability curve.
- Pipeline Design: Experience building production-ready betting or trading systems, from low-latency sports data ingestion (e.g., Opta, Sportradar) to automated bet acceptance engines.
- Applied Data Science: Success deploying predictive models that learn from in-play microstructure, public betting sentiment, and price velocity.
- Systems Integrity: Expertise in building error-tolerant infrastructure that remains rock-solid under extreme throughput (e.g., Super Bowl, World Cup, or election nights).
Quant Trader (Sports & Prediction Markets) in London employer: Crypto.com
At OG.com, we pride ourselves on being an innovative leader in the sports trading industry, offering a dynamic work environment that fosters creativity and technical excellence. Our collaborative culture encourages continuous learning and professional growth, with opportunities to work on cutting-edge projects that directly impact our market presence. Located in a vibrant city, we provide competitive benefits and a supportive atmosphere where your contributions are valued and recognised.
StudySmarter Expert Advice🤫
We think this is how you could land Quant Trader (Sports & Prediction Markets) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend events, and join online forums. The more connections we make, the better our chances of landing that dream role.
✨Tip Number 2
Show off your skills! Create a portfolio or a project that highlights your quantitative sports fluency and technical prowess. We want to see what you can do beyond just words on a CV.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to sports analytics and trading systems. We need to be ready to demonstrate our knowledge and problem-solving skills on the spot.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows us you're genuinely interested in being part of our team.
We think you need these skills to ace Quant Trader (Sports & Prediction Markets) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Quant Trader. Highlight your experience with sports analytics, probability, and any relevant systems you've built. We want to see how your skills align with our needs!
Showcase Your Projects:If you've worked on any projects related to trading systems or predictive models, don’t hold back! Share specific examples that demonstrate your ability to handle real-time data and make quick decisions. This is your chance to shine!
Be Clear and Concise:When writing your application, keep it straightforward. Use clear language and avoid jargon unless it's relevant. We appreciate a well-structured application that gets straight to the point—just like we do in our trading strategies!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It helps us streamline the process and ensures your application lands in the right hands. Don’t miss out on this opportunity!
How to prepare for a job interview at Crypto.com
✨Know Your Numbers
As a Quant Trader, you’ll need to demonstrate your deep understanding of probability and sports analytics. Brush up on key metrics and be ready to discuss how you would apply them in real-time scenarios. Show that you can treat every match as a shifting probability curve.
✨Showcase Your Technical Skills
Be prepared to talk about your experience with building production-ready betting systems. Highlight any projects where you’ve designed low-latency data ingestion or automated bet acceptance engines. This is your chance to impress with your technical prowess!
✨Prepare for Real-Time Challenges
Expect questions about how you would handle high-pressure situations, especially during major sporting events. Think through examples where you’ve had to make quick decisions or adjustments under pressure, and be ready to share those experiences.
✨Communicate Clearly with Non-Experts
You’ll need to translate complex pricing strategies into scalable requirements for engineering teams. Practice explaining your ideas in simple terms, so even someone without a quantitative background can understand. This will show your ability to collaborate effectively across teams.
