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- Tasks: Design and deploy innovative 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: Be at the forefront of finance, trading on dynamic platforms and making impactful decisions.
- Qualifications: 2+ years in quantitative trading with expertise in Python and low-latency systems.
The predicted salary is between 60000 - 80000 £ per year.
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.
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.
- Develop low-latency trading infrastructure (Python/C++/Rust) interfacing with exchange APIs and blockchain RPCs.
- 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.
Requirements:
- 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).
- Experience building market-making bots or statistical arbitrage systems from scratch.
- Familiarity with blockchain infrastructure (EVM, smart contracts, gas optimization).
- Published research on prediction markets, information aggregation, or event-driven trading.
We are committed to diversity and inclusivity.
Remote Quant Trader - Prediction Markets in Bury 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 Bury
✨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, backtesting results, and any bots you've built. 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 the specific platforms we use. Be ready to discuss your past experiences and how they relate to the role—confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our remote-first team.
We think you need these skills to ace Remote Quant Trader - Prediction Markets in Bury
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with our job description. Highlight your quantitative trading experience, especially with binary options or event contracts, to catch our eye!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about prediction markets and how your background makes you a great fit. Be genuine and let your personality shine through—this is your chance to stand out!
Showcase Your Technical Skills: Since we’re all about low-latency systems and Python, make sure to mention any relevant projects or experiences. If you've built market-making bots or worked with blockchain tech, we want to hear about it!
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 Markets
Make sure you’re well-versed in the prediction markets ecosystem. Brush up on your knowledge of platforms like Kalshi and Polymarket, and be ready to discuss how traditional finance is merging with decentralised markets. This shows you’re not just a numbers person but also understand the broader context.
✨Showcase Your Technical Skills
Be prepared to talk about your experience with Python, C++, or Rust. Bring examples of low-latency systems you've worked on or trading strategies you've developed. If you’ve built market-making bots or statistical arbitrage systems, share those experiences—they’ll want to see your hands-on expertise.
✨Demonstrate Your Analytical Mindset
Since this role involves probability theory and risk management, be ready to discuss your approach to these concepts. You might even want to prepare a few scenarios where you applied Bayesian updating or other statistical methods in your trading decisions.
✨Emphasise Collaboration
Even though the role is remote, collaboration is key. Talk about how you’ve worked with researchers or teams in the past, especially when integrating alternative data into pricing models. Highlight your ability to communicate effectively across time zones—this will show you can thrive in a fully remote environment.