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- Tasks: Design and deploy cutting-edge trading strategies in the exciting world of prediction markets.
- Company: Join a forward-thinking quantitative trading firm at the forefront of finance.
- Benefits: Fully remote work, competitive salary, and opportunities for professional growth.
- Other info: Diverse and inclusive team with a dynamic, remote-first culture.
- Why this job: Make an impact in a rapidly evolving market while working with innovative technologies.
- Qualifications: 2+ years in quantitative trading and expertise in Python; live trading experience preferred.
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 Altrincham 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 Altrincham
✨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
Stay updated with market trends and news. Follow prediction markets closely and engage in discussions. This will not only help you during interviews but also show your passion for the field.
✨Tip Number 4
Apply through our website! We love seeing candidates who take the initiative. Tailor your application to highlight your experience with binary contracts and low-latency systems—this will make you stand out!
We think you need these skills to ace Remote Quant Trader - Prediction Markets in Altrincham
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 fits into our remote-first culture. Share specific examples of your trading strategies or projects you've worked on.
Showcase Your Technical Skills: Since we’re all about low-latency systems and Python expertise, don’t forget to mention any relevant projects or tools you’ve used. If you’ve built market-making bots or worked with blockchain tech, let us know!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you get the best chance to shine in front of 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 will show that 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 built or worked on, and if you have any published research, don’t hesitate to mention it. This is your chance to demonstrate your technical prowess and how it applies to the role.
✨Discuss Your Trading Experience
Highlight your live trading experience, especially with binary options or event contracts. If you’ve traded on Kalshi or Polymarket, share specific strategies you used and the outcomes. This will help the interviewers see your practical understanding of the markets.
✨Emphasise Collaboration and Independence
Since the team is fully remote, it’s crucial to convey your ability to work independently while also collaborating effectively across time zones. Share examples of past experiences where you successfully managed projects solo and worked with others remotely.