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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.
- Other info: Collaborate with a diverse team across global time zones.
- Why this job: Make an impact in a dynamic field where finance meets technology.
- Qualifications: 2+ years in quantitative trading and expertise in Python required.
The predicted salary is between 60000 - 80000 £ per year.
About the Company
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 City of 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 City of 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 a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your trading strategies, models, or any research you've done. This is your chance to shine and demonstrate what you can bring to the table.
✨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 City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of a Quant Trader. Highlight your experience in quantitative trading, market-making, and any relevant projects you've worked on. We want to see how your skills align with our needs!
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 a perfect fit for our team. Keep it engaging and personal—let us get to know you!
Showcase Your Technical Skills: Since we're all about low-latency systems and Python, make sure to highlight your technical expertise. Include specific examples of projects or systems you've built that demonstrate your coding skills and understanding of trading strategies.
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’re considered for the role. Plus, it shows you’re keen on joining our remote-first team!
How to prepare for a job interview at Blue Coast
✨Know Your Stuff
Make sure you brush up on your quantitative trading knowledge, especially around prediction markets. Be ready to discuss your experience with binary options and any live trading you've done on platforms like Kalshi or Polymarket. This shows you're not just familiar with the theory but have practical insights too.
✨Showcase Your Skills
Prepare to talk about your technical skills in Python, C++, or Rust. Have examples ready of how you've built trading models or low-latency systems. If you've worked on market-making bots or statistical arbitrage systems, share those experiences to highlight your hands-on expertise.
✨Understand the Market
Familiarise yourself with current events and trends in politics, economics, and sports that could impact prediction markets. Being able to discuss these topics intelligently will demonstrate your ability to monitor real-time markets and make informed decisions during high-impact events.
✨Be a Team Player
Even though the role is remote, collaboration is key. Be prepared to discuss how you've worked with others, especially researchers, to integrate alternative data into your trading strategies. Highlighting your ability to communicate and collaborate across time zones will show you're a great fit for a fully remote team.