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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 deployment 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 system development and strong Python skills.
The predicted salary is between 50000 - 70000 £ 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
Tradesman needed in London employer: Grainstone Lee
Contact Detail:
Grainstone Lee Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Tradesman needed in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. We can’t stress enough how important it is to build relationships; you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your coding projects, especially those related to Python and trading strategies. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your quantitative skills and market knowledge. We recommend practising common interview questions related to derivatives trading and coding challenges. The more prepared you are, the more confident you'll feel!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, applying directly shows your enthusiasm and commitment to joining our team.
We think you need these skills to ace Tradesman needed in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of a Quantitative Options Trader. Highlight your coding skills, especially in Python, and any relevant experience in derivatives trading. We want to see how your background aligns with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about volatility trading and how your skills can contribute to our collaborative environment. Keep it concise but impactful – we love a good story!
Showcase Your Quant Skills: Don’t forget to showcase your quantitative skills in your application. Mention any projects or experiences that demonstrate your numerical intuition and problem-solving abilities. We’re looking for candidates who can think critically and analytically!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Grainstone Lee
✨Know Your Quantitative Stuff
Make sure you brush up on your quantitative skills and knowledge of derivatives trading. Be prepared to discuss your experience with options system development and how you've applied your Python programming skills in real-world scenarios.
✨Show Your Coding Skills
Since strong coding ability is crucial for this role, be ready to demonstrate your Python expertise. You might be asked to solve a coding problem or explain a project where you developed tools to support trading activities.
✨Understand the Market
Familiarise yourself with volatility trading and the specific asset classes mentioned in the job description. Being able to discuss current market trends and how they relate to the firm's strategies will show that you're genuinely interested and engaged.
✨Collaborate and Communicate
This role involves working closely with researchers and developers, so highlight your teamwork and communication skills. Prepare examples of how you've successfully collaborated in the past, especially in high-pressure environments.