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- Tasks: Design and deploy trading strategies in the exciting world of 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 and explore dynamic market opportunities.
- Why this job: Make an impact by leveraging unique market insights and innovative trading techniques.
- Qualifications: 2+ years in quantitative trading with expertise in Python and low-latency systems.
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 Leigh 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 Leigh
✨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 take that extra step to connect with us directly.
We think you need these skills to ace Remote Quant Trader - Prediction Markets in Leigh
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the role of a Remote Quant Trader. Highlight your quantitative trading experience, especially with binary options or event contracts, to catch our eye!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for prediction markets and how your background in quantitative trading makes you a perfect fit for our team. Don’t forget to mention any unique strategies you've developed!
Showcase Your Technical Skills: Since we’re all about low-latency systems and Python, make sure to highlight your technical expertise. Include specific projects or experiences where you’ve built trading models or worked with APIs—this will really impress 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 from our team!
How to prepare for a job interview at Blue Coast
✨Know Your Numbers
Brush up on your quantitative skills and be ready to discuss specific models or strategies you've used in the past. They’ll want to see your understanding of probability theory and risk management, so prepare examples that showcase your expertise.
✨Showcase Your Trading Experience
Be prepared to talk about your live trading experiences, especially with binary or event contracts. If you’ve traded on platforms like Kalshi or Polymarket, share those stories and highlight any successes or lessons learned.
✨Demonstrate Technical Proficiency
Since this role involves building low-latency systems, make sure you can discuss your experience with Python, C++, or Rust. Bring examples of projects where you’ve developed trading infrastructure or market-making bots to the table.
✨Stay Current with Market Trends
Keep an eye on current events and trends in prediction markets, politics, and economics. Being able to discuss recent developments will show your passion for the field and your ability to think critically about market movements.