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- Tasks: Design and deploy innovative trading strategies in prediction markets.
- Company: Join a cutting-edge quantitative trading firm leading the future of finance.
- Benefits: Fully remote work, competitive salary, and opportunities for professional growth.
- Why this job: Be at the forefront of finance, trading on exciting events like elections and sports.
- Qualifications: 2+ years in quantitative trading and expertise in Python required.
- Other info: Collaborate with a diverse team across time zones in a dynamic environment.
The predicted salary is between 36000 - 60000 £ per year.
We're a forward-thinking quantitative trading firm building institutional-grade strategies across the rapidly expanding prediction markets ecosystem. As traditional finance converges with decentralized markets, we’re positioning at the forefront—trading binary event contracts on regulated exchanges (Kalshi, CME Event Contracts) and crypto-native platforms (Polymarket, Augur). Our fully remote team spans time zones to capture 24/7 opportunities in politics, economics, sports, crypto, and geopolitical events.
About the Role
Strategy Owner and lead. You’ll design, backtest, and deploy systematic trading strategies across the full spectrum of prediction market alpha sources—from microsecond market-making to multi-week directional bets. Unlike traditional markets, prediction markets offer unique edges: information asymmetry around real-world events, cross-platform fragmentation, and behavioral biases in probability estimation. Your mandate: exploit them all.
Responsibilities
- Manage a live capital allocation with full P&L accountability across multiple venues
- Build quantitative models to estimate true event probabilities, detect mispricing, and optimize position sizing
- Develop low-latency trading infrastructure (Python/C++/Rust) interfacing with exchange APIs and blockchain RPCs
- Continuously monitor markets in real-time during high-impact events (elections, FOMC, major sports)
- Backtest strategies on historical order book data and simulated environments before live deployment
- Collaborate with researchers to integrate alternative data (social sentiment, web traffic, on-chain flows) into pricing models
Qualifications
- 2+ years professional experience in quantitative trading, market making, or statistical arbitrage (prop shop, hedge fund, or HFT firm)
- Proven track record trading binary/options/event contracts—live trading experience on Kalshi or Polymarket strongly preferred
- Expertise in Python (pandas, numpy, asyncio) and experience with low-latency systems (C++, Rust, or Go a plus)
- Deep understanding of probability theory, Bayesian updating, and risk management for binary outcomes
- Ability to work independently across time zones with minimal supervision (we're fully remote-first)
Required Skills
- Experience building market-making bots or statistical arbitrage systems from scratch
- Familiarity with blockchain infrastructure (EVM, smart contracts, gas optimization)
- Background in political science, economics, or sports analytics with quantitative rigor
- Published research on prediction markets, information aggregation, or event-driven trading
Preferred Skills
- Experience building market-making bots or statistical arbitrage systems from scratch
- Familiarity with blockchain infrastructure (EVM, smart contracts, gas optimization)
- Background in political science, economics, or sports analytics with quantitative rigor
- Published research on prediction markets, information aggregation, or event-driven trading
Equal Opportunity Statement
We are committed to diversity and inclusivity.
Remote Quant Trader – Prediction Markets in London employer: Blue Coast
Contact Detail:
Blue Coast Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Quant Trader – Prediction Markets in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or Twitter. Join relevant groups and forums where traders hang out. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your trading strategies, models, or any relevant projects. This is your chance to demonstrate your expertise and make a lasting impression.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of prediction markets and quantitative trading. Be ready to discuss your past experiences and how they relate to the role. Practice makes perfect!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Remote Quant Trader – Prediction Markets in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the role of a Quant Trader. Highlight your experience in quantitative trading, market making, and any relevant programming skills. We want to see how you fit into our prediction markets ecosystem!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about prediction markets and how your background makes you the perfect fit for our team. Don’t forget to mention any specific experiences with platforms like Kalshi or Polymarket.
Showcase Your Technical Skills: Since we’re all about low-latency systems and quantitative models, make sure to highlight your proficiency in Python, C++, or Rust. If you've built any trading bots or statistical arbitrage systems, share those experiences with us!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, we love seeing applications come in through our own platform!
How to prepare for a job interview at Blue Coast
✨Know Your Markets
Before the interview, dive deep into the prediction markets ecosystem. Familiarise yourself with platforms like Kalshi and Polymarket, and understand how they operate. Being able to discuss recent trends or events in these markets will show your genuine interest and expertise.
✨Showcase Your Technical Skills
Prepare to discuss your experience with Python, C++, or Rust. Bring examples of past projects where you built trading models or market-making bots. If you have any published research or relevant work, make sure to highlight it during the conversation.
✨Demonstrate Your Analytical Mindset
Be ready to talk about probability theory and risk management. You might be asked to solve a problem on the spot, so brush up on Bayesian updating and how it applies to trading strategies. Showing your analytical skills will set you apart from other candidates.
✨Emphasise Remote Work Experience
Since this role is fully remote, share your experiences working independently across time zones. Discuss how you manage your time and stay productive without supervision. This will reassure them that you're a good fit for their remote-first culture.
