At a Glance
- Tasks: Design and maintain a cutting-edge pricing engine for sports markets.
- Company: Join a dynamic team at OG.com, leading in sports prediction technology.
- Benefits: Competitive salary, flexible hours, and opportunities for professional growth.
- Other info: Fast-paced environment with exciting challenges during major sporting events.
- Why this job: Be at the forefront of sports analytics and make impactful decisions in real-time.
- 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 incentivize 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) employer: Crypto.com
At OG.com, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our team thrives in a fast-paced environment where your contributions directly impact our cutting-edge liquidity solutions in the sports and prediction markets. With ample opportunities for professional growth and development, alongside competitive benefits, working with us means being part of a forward-thinking company at the forefront of the industry.
StudySmarter Expert Advice🤫
We think this is how you could land Quant Trader (Sports & Prediction Markets)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend events, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio or a project that highlights your quantitative sports fluency and technical prowess. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of real-time sports data and market dynamics. Be ready to discuss how you would tackle challenges like liability skewing and risk automation in a fast-paced environment.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Quant Trader (Sports & Prediction Markets)
Some tips for your application 🫡
Show Your Quantitative Skills:Make sure to highlight your understanding of probability and sports analytics in your application. We want to see how you treat every match or event as a shifting probability curve, so don’t hold back on showcasing your quantitative fluency!
Demonstrate Your Technical Expertise:When writing your application, be specific about your experience with building production-ready betting or trading systems. We’re keen to know about your work with low-latency data ingestion and automated bet acceptance engines, so give us the details!
Talk About Real-Time Problem Solving:We love candidates who can handle high-pressure situations! Share examples of how you've acted as a technical anchor during critical events, especially when rapid calibration was needed. This will show us you can thrive under pressure.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Crypto.com
✨Know Your Numbers
Brush up on your quantitative skills and be ready to discuss probability and sports analytics. Make sure you can explain how you would approach building a pricing engine and the logic behind your decisions.
✨Showcase Your Experience
Prepare specific examples from your past work where you've built production-ready systems or deployed predictive models. Highlight any experience with low-latency data ingestion and how it relates to the role.
✨Understand the Market
Familiarise yourself with current trends in sports betting and prediction markets. Be prepared to discuss how you would handle adverse selection and maintain balance in the book during high-pressure situations.
✨Communicate Clearly
Practice explaining complex concepts in simple terms. You’ll need to translate technical strategies into actionable insights for different teams, so clarity is key. Think about how you would communicate your ideas during a live event.
