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- Tasks: Design and deploy innovative trading strategies in prediction markets.
- Company: Join a cutting-edge quantitative trading firm with a remote-first culture.
- Benefits: Enjoy competitive pay, flexible hours, and the chance to work on exciting projects.
- Why this job: Be at the forefront of finance, blending traditional and decentralized markets.
- Qualifications: 2+ years in quantitative trading and expertise in Python required.
- Other info: Work independently across time zones with opportunities for growth.
The predicted salary is between 36000 - 60000 £ per year.
We are 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 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
✨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 projects you've worked on. This is your chance to demonstrate your expertise and stand out from the crowd.
✨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
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your quantitative trading experience and any relevant projects you've worked on. We want to see how you can bring your unique skills to our team!
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the specific requirements of the Remote Quant Trader role. We love seeing candidates who really understand what we do.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication, so avoid jargon unless it’s necessary to showcase your expertise.
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 without any hiccups!
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
Be prepared to discuss your experience with Python, C++, or Rust. Bring examples of quantitative models you've built or trading strategies you've implemented. If you have any published research or projects related to prediction markets, make sure to highlight them!
✨Demonstrate Your Analytical Thinking
Expect questions that assess your understanding of probability theory and risk management. Prepare to explain how you would approach estimating true event probabilities or detecting mispricing. Use real-world examples to illustrate your thought process.
✨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 direct supervision. Highlight any tools or strategies you use to communicate effectively with remote teams.
