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- Tasks: Design, backtest, and deploy trading strategies in prediction markets.
- Company: Leading quantitative trading firm with a focus on innovation.
- Benefits: Fully remote work, flexible hours, and competitive compensation.
- Why this job: Join a dynamic team and shape the future of trading strategies.
- Qualifications: 2+ years in quantitative trading and proficiency in Python.
- Other info: Ideal for independent thinkers who thrive in a fast-paced environment.
The predicted salary is between 36000 - 60000 £ per year.
A leading quantitative trading firm seeks a Strategy Owner to design, backtest, and deploy trading strategies in prediction markets. Candidates should have over 2 years of experience in quantitative trading, particularly in binary event contracts.
Essential skills include proficiency in Python and knowledge of low-latency systems. This is a fully remote position that requires strong independence and adaptability across time zones.
Remote Quant Trader: Prediction Markets & Event Contracts in London 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 & Event Contracts in London
✨Tip Number 1
Network like a pro! Reach out to folks in the quantitative trading space on LinkedIn or relevant forums. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your trading strategies, backtests, and any projects you've worked on in Python. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of prediction markets and binary event contracts. Be ready to discuss your past experiences and how they relate to the role.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Remote Quant Trader: Prediction Markets & Event Contracts in London
Some tips for your application 🫡
Show Off Your Experience: Make sure to highlight your 2+ years of experience in quantitative trading, especially with binary event contracts. We want to see how your background aligns with the role, so don’t hold back on those relevant projects!
Python Proficiency is Key: Since Python skills are essential for this role, include specific examples of how you've used Python in your previous work. We love seeing real-world applications, so share any cool projects or strategies you've developed!
Be Yourself: We value independence and adaptability, so let your personality shine through in your application. Share how you’ve successfully worked remotely and managed time zones in past roles – it’ll help us get to know you better!
Apply Through Our Website: To make sure your application gets the attention it deserves, apply directly through our website. It’s the best way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Blue Coast
✨Know Your Trading Strategies
Make sure you can discuss your previous trading strategies in detail. Be prepared to explain how you designed, backtested, and deployed them, especially in the context of prediction markets and binary event contracts.
✨Show Off Your Python Skills
Brush up on your Python programming skills before the interview. You might be asked to solve a coding problem or discuss how you've used Python in your past projects, so have some examples ready to showcase your proficiency.
✨Understand Low-Latency Systems
Familiarise yourself with low-latency systems and their importance in quantitative trading. Be ready to discuss any experience you have with these systems and how they can impact trading strategies.
✨Demonstrate Independence and Adaptability
Since this is a remote position, highlight your ability to work independently and adapt to different time zones. Share examples of how you've successfully managed your time and collaborated with teams across various locations.
