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- Tasks: Monitor and improve automated trading systems while collaborating on volatility strategies.
- Company: High-performing quantitative hedge fund with a global presence.
- Benefits: Competitive salary, dynamic work environment, and opportunities for career progression.
- Other info: Gain exposure to strategy design and deployment in a collaborative setting.
- Why this job: Combine coding skills with market intuition to make an impact in trading.
- Qualifications: 1-3 years in derivatives trading or options system development with 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
Options Trader in London employer: Grainstone Lee
Contact Detail:
Grainstone Lee Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Options Trader in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry through LinkedIn or local meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that dream role.
✨Tip Number 2
Prepare for those interviews! Brush up on your Python skills and be ready to discuss your experience with derivatives trading. We recommend practising common interview questions and even doing mock interviews with friends.
✨Tip Number 3
Showcase your projects! If you've worked on any relevant coding projects or trading strategies, make sure to highlight them. We love seeing practical applications of your skills, so don’t hold back!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always looking for passionate candidates who are eager to join our collaborative environment.
We think you need these skills to ace Options Trader in 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 team.
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so avoid jargon and make sure your passion for the role shines through!
Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for the role without any hiccups!
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. Expect questions that test your numerical intuition and mental maths ability, so practice solving problems quickly and accurately.
✨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 coding challenge or explain how you've used Python in previous roles, so have some examples ready that showcase your experience in developing tools for trading activities.
✨Understand Volatility Trading
Familiarise yourself with volatility trading concepts and derivatives markets. Be prepared to discuss your interest in these areas and how you’ve applied this knowledge in past experiences. Showing genuine enthusiasm for the subject can set you apart from other candidates.
✨Collaborative Mindset
This role involves working closely with traders, researchers, and developers, so highlight your teamwork skills. Share examples of how you've successfully collaborated in the past, especially in high-pressure environments, to show that you're a great fit for their collaborative trading culture.