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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 enhance your understanding of volatility trading.
- Why this job: Combine coding skills with market intuition to make impactful trading decisions.
- Qualifications: 1-3+ years in derivatives trading or options development, strong Python skills required.
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
Options Trader in City of London employer: Grainstone Lee
Contact Detail:
Grainstone Lee Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Options Trader in City of 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 help you land that dream role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your coding projects or any trading strategies you've developed. 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 technical knowledge and market trends. We recommend practising common interview questions related to options trading and derivatives. The more prepared you are, the more confident you'll feel!
✨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 about their job search!
We think you need these skills to ace Options Trader in City of London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your coding skills, especially in Python, as well as any experience you have in derivatives trading. We want to see how your background aligns with the role, so don’t hold back!
Tailor Your Application: Take a moment to customise your CV and cover letter for this specific role. Mention your interest in volatility trading and how your quantitative background makes you a great fit for our collaborative environment.
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so make sure your key achievements and experiences stand out without unnecessary fluff.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Grainstone Lee
✨Know Your Numbers
Brush up on your quantitative skills and be ready to discuss your numerical intuition. Expect questions that test your mental maths ability, so practice solving problems quickly and accurately.
✨Showcase Your Coding Skills
Since strong Python programming skills are a must, prepare to demonstrate your coding abilities. You might be asked to solve a problem or explain how you've used Python in past projects, so have examples ready.
✨Understand the Market
Familiarise yourself with volatility trading and derivatives markets. Be prepared to discuss recent trends or news that could impact these areas, showing that you’re not just a coder but also a market-savvy trader.
✨Collaborative Mindset
This role involves working closely with researchers and developers, so highlight your teamwork skills. Share examples of how you've successfully collaborated in the past, especially in high-pressure environments.