Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Shape and run automated options strategies using data and technology.
- Company: Join a cutting-edge trading firm at the forefront of market innovation.
- Benefits: Competitive salary, dynamic work environment, and opportunities for growth.
- Why this job: Make impactful trading decisions in real-time and drive performance.
- Qualifications: Degree in Maths, Physics, Computer Science, or related fields; Python fluency required.
- Other info: Collaborate with experienced professionals and explore new trading opportunities.
The predicted salary is between 36000 - 60000 £ per year.
This is an opportunity to operate at the frontier of markets - where data, technology and insight converge to drive intelligent trading decisions. As a Quantitative Options Trader, you’ll play a pivotal role in shaping and running sophisticated, automated options strategies that respond to global market dynamics in real time.
Working alongside experienced quants, developers, and risk managers, you’ll transform complex information into performance that matters. Your decisions will directly affect trading outcomes every day.
- Drive Performance: Analyse and refine existing trading frameworks to enhance profitability and stability.
- Adapt Fast: Respond to shifts in volatility, liquidity, and flow by adjusting pricing, risk appetite and model sensitivity in real time.
- Build metrics, dashboards, and diagnostics to understand system behaviour and uncover new trading opportunities.
- Shape Risk Controls: Define protection parameters and maintain oversight of live exposures across global options markets.
You have a Bachelor’s or Master’s degree in Mathematics, Physics, Computer Science, Engineering or Economics from a leading institution. Strong quantitative intuition and experience operating or designing systematic or data-driven strategies. Fluency in Python and key scientific libraries (pandas/polars, scikit-learn, plotly/matplotlib). Familiarity with Kdb+/Q, SQL, Git and Linux environments is highly valued. Ability to process, visualise and act on real-time data streams.
This is not a traditional trading desk role - it’s an environment where rigorous analysis and sound judgment define success.
Quantitative Options Trader in London employer: Elity Global
Contact Detail:
Elity Global Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Options Trader in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the trading and quantitative fields on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that dream role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and data analysis. This is your chance to demonstrate your quantitative intuition and systematic strategies in action.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. We recommend practising with real-time data scenarios and discussing your thought process clearly – it’s all about showing how you think!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for passionate individuals ready to tackle challenges in the trading world.
We think you need these skills to ace Quantitative Options Trader in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your quantitative skills and experience with data-driven strategies in your application. We want to see how you can transform complex information into actionable insights, so don’t hold back!
Tailor Your Application: Customise your CV and cover letter to reflect the specific requirements of the Quantitative Options Trader role. Mention your fluency in Python and any relevant libraries, as well as your experience with real-time data processing.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication, so avoid jargon unless it’s relevant to the role. Make every word count!
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. We can’t wait to hear from you!
How to prepare for a job interview at Elity Global
✨Know Your Numbers
As a Quantitative Options Trader, you’ll need to demonstrate your strong quantitative intuition. Brush up on key mathematical concepts and be ready to discuss how you've applied them in past experiences. Be prepared to solve problems on the spot, showcasing your analytical skills.
✨Showcase Your Tech Skills
Fluency in Python and scientific libraries is crucial for this role. Make sure you can talk about specific projects where you've used these tools. If possible, bring examples of code or dashboards you've built to illustrate your capabilities and how they relate to trading strategies.
✨Understand Market Dynamics
Familiarise yourself with current market trends and how they impact options trading. Be ready to discuss recent shifts in volatility or liquidity and how you would adapt your strategies in response. This shows that you’re not just technically skilled but also aware of the broader market context.
✨Prepare for Scenario Questions
Expect scenario-based questions that test your decision-making under pressure. Think about how you would handle real-time data streams and adjust risk parameters. Practising these scenarios will help you articulate your thought process clearly during the interview.