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- Tasks: Join a dynamic team to develop and optimise trading strategies in a fast-paced environment.
- Company: High-performing quantitative hedge fund with a global presence in London and New York.
- Benefits: Competitive salary, collaborative culture, and opportunities for career progression.
- Other info: Gain exposure to strategy design and execution with clear paths to senior roles.
- Why this job: Combine coding skills with market intuition to make an impact in volatility trading.
- Qualifications: 1-3+ years in derivatives trading or options development, strong Python skills required.
The predicted salary is between 60000 - 80000 £ per year.
We are working with a high-performing, 200-person quantitative hedge fund that is expanding its footprint across London and New York. The firm has built a reputation for combining rigorous quantitative research with disciplined execution, operating across global cash and derivatives markets. As part of continued growth, they are seeking to hire a quant dev/trader to join a collaborative trading environment focused on managing systematic strategies across vol markets.
The Role
You will sit between trading, research, and technology, working closely with developers and quantitative researchers to implement and optimise derivatives strategies. This is a great opportunity for individuals who combine strong coding ability with market intuition and want to deepen their understanding of volatility trading in a systematic environment.
Key responsibilities include:
- Monitoring and improving automated trading systems
- Supporting and, in some cases, executing derivatives trades
- Collaborating with researchers to refine and enhance volatility strategies
- Analysing performance and identifying opportunities for optimisation
- Developing tools and workflows in Python to support trading activities
Over time, you will gain increasing exposure to how strategies are designed, tested, and deployed, with clear progression into more senior trading responsibility.
Required experience
- ~1–3+ years’ experience in derivatives trading or options system development
- ~ Strong Python programming skills
- ~ Solid academic background in a quantitative discipline (Maths, Physics, Computer Science, Engineering, etc.)
- ~ Strong numerical intuition and mental maths ability
- ~ Interest in volatility trading and derivatives markets
Preferred Background
Candidates with experience across the following asset classes are particularly relevant:
- Equities (single name or index options)
- Commodities
- Fixed Income derivatives
Trader a in London employer: Grainstone Lee
Contact Detail:
Grainstone Lee Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Trader a in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow traders. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your coding projects, especially those related to trading strategies or data analysis. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your quantitative skills and market knowledge. Be ready to discuss your thought process behind trading decisions and how you approach problem-solving in a systematic environment.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals who are passionate about trading and technology. Your next big opportunity could be just a click away!
We think you need these skills to ace Trader a in London
Some tips for your application 🫡
Show Your Coding Skills: Make sure to highlight your Python programming skills in your application. We want to see how you can use coding to optimise trading strategies, so don’t hold back on showcasing any relevant projects or experiences!
Quantitative Background Matters: Since we’re looking for someone with a solid academic background in a quantitative discipline, be sure to mention your studies in Maths, Physics, or Computer Science. This helps us understand your analytical mindset and problem-solving abilities.
Demonstrate Your Market Intuition: We love candidates who have a strong numerical intuition and an interest in volatility trading. Share any experiences or insights you have about derivatives markets to show us your passion and understanding of the field.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity in our collaborative trading environment.
How to prepare for a job interview at Grainstone Lee
✨Know Your Quantitative Stuff
Brush up on your quantitative skills and be ready to discuss your academic background in Maths, Physics, or Computer Science. Make sure you can explain complex concepts clearly, as this will show your understanding of the field and your ability to communicate effectively with both traders and researchers.
✨Show Off Your Python Skills
Since strong Python programming skills are a must, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice writing clean, efficient code and be ready to discuss your previous projects or tools you've developed that relate to trading.
✨Understand Volatility Trading
Familiarise yourself with volatility trading strategies and derivatives markets. Be prepared to discuss how you would approach monitoring and improving automated trading systems, and think about specific examples where you've identified optimisation opportunities in past roles or projects.
✨Collaborate and Communicate
This role involves working closely with developers and researchers, so highlight your teamwork skills. Prepare examples of how you've collaborated in the past, especially in high-pressure environments, and be ready to discuss how you would support and execute derivatives trades while maintaining clear communication with your team.