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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: Diverse and inclusive team with a focus on collaboration across time zones.
- Why this job: Make an impact by leveraging unique market insights and innovative 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 Slough 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 Slough
✨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 cool projects you've worked on. This is your chance to shine and prove you’ve got what it takes to thrive in prediction markets.
✨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. We want to see your passion and expertise!
✨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 Slough
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with our role. Highlight your quantitative trading experience and any relevant projects you've worked on, especially those involving prediction markets.
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. Be genuine and let your personality come through.
Showcase Your Technical Skills: Since we're all about low-latency systems and Python, make sure to mention any relevant programming languages and tools you've used. If you've built market-making bots or worked with blockchain, shout about it!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to see your application in the right context and ensures you don’t miss out on any important details about the role.
How to prepare for a job interview at Blue Coast
✨Know Your Markets
Before the interview, dive deep into the prediction markets landscape. Familiarise yourself with platforms like Kalshi and Polymarket, and understand how they operate. Being able to discuss recent events or trends 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 quantitative models or trading bots. If you have any published research or relevant work, be ready to share it—this will highlight your hands-on experience and technical prowess.
✨Understand Probability and Risk Management
Brush up on probability theory and risk management strategies, especially as they relate to binary outcomes. Be prepared to explain how you've applied these concepts in your previous roles, as this knowledge is crucial for the role of a Quant Trader.
✨Demonstrate Collaboration Skills
Since the team is fully remote, emphasise your ability to work independently and collaborate across time zones. Share examples of how you've successfully worked with others in a remote setting, particularly when integrating alternative data into trading strategies.