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- Tasks: Design and deploy innovative trading strategies in 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, leveraging unique market insights to make impactful trades.
- Qualifications: 2+ years in quantitative trading with expertise in Python and low-latency systems.
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 Leeds 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 Leeds
✨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 research you've done. 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. 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, 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 Leeds
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the role of a Remote Quant Trader. Highlight your quantitative trading experience, especially with binary options or event contracts, to catch our eye!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for prediction markets and how your background in quantitative trading makes you a perfect fit for our team. Don’t forget to mention any relevant projects or research you've done.
Showcase Your Technical Skills: Since we’re all about low-latency systems and Python, make sure to highlight your technical expertise. Include specific examples of projects where you’ve built trading models or bots, and don’t shy away from mentioning any experience with C++ or Rust.
Apply Through Our Website: We love it when candidates apply directly through our website! It helps us keep track of applications better. Plus, it shows you’re genuinely interested in joining our forward-thinking team at StudySmarter.
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 trends or events 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 low-latency trading systems. If you have any published research or relevant code samples, don’t hesitate to share them during the interview.
✨Demonstrate Your Analytical Thinking
Be ready to tackle hypothetical scenarios related to event-driven trading. Think about how you would approach estimating true event probabilities or detecting mispricing. This will highlight your problem-solving skills and understanding of probability theory.
✨Emphasise Collaboration and Independence
Since the role is fully remote, it’s crucial to convey your ability to work independently while also collaborating effectively with a distributed team. Share examples of how you've successfully managed projects across time zones or worked with researchers to integrate alternative data.