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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: Work independently with a diverse team across global time zones.
- Why this job: Make an impact in a dynamic field where finance meets innovation.
- 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 Manchester 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 Manchester
✨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 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! We love seeing applications directly from candidates who are excited about joining our remote team. It shows initiative and enthusiasm—two things we value highly!
We think you need these skills to ace Remote Quant Trader – Prediction Markets in Manchester
Some tips for your application 🫡
Show Your Quant Skills: When you're writing your application, make sure to highlight your quantitative trading experience. We want to see how you've tackled real-world problems and what strategies you've successfully implemented in the past.
Be Specific About Your Experience: Don't just list your skills; give us examples! Talk about your experience with binary options or event contracts, especially if you've traded on platforms like Kalshi or Polymarket. Specifics help us understand your background better.
Keep It Relevant: Tailor your application to focus on the skills and experiences that align with our role. Mention your familiarity with Python, low-latency systems, and any work you've done with market-making bots or statistical arbitrage systems.
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 us you’re keen on joining our team!
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 trading models or market-making bots. If you have any published research or relevant work, be ready to share it—this can really set you apart!
✨Demonstrate Your Analytical Mindset
Be prepared to talk about your approach to probability theory and risk management. Think of specific instances where you've applied Bayesian updating or detected mispricing in your trading strategies. This will highlight your quantitative skills and analytical thinking.
✨Emphasise Remote Work Experience
Since the role is fully remote, it's crucial to demonstrate your ability to work independently across time zones. Share examples of how you've successfully collaborated with teams remotely, managed your time effectively, and stayed accountable for your results.