Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join our trading analytics team to develop models and tools for energy trading.
- Company: We're a growing, independent B2B energy company based in London.
- Benefits: Enjoy a full-time role with opportunities for professional growth and development.
- Why this job: Make a real impact on trading strategies while working in a dynamic and innovative environment.
- Qualifications: Strong programming skills in Python, with a degree in a quantitative field required.
- Other info: Ideal for London-based candidates; no sponsorship available.
The predicted salary is between 43200 - 72000 £ per year.
Location: London (On-site)
Industry: Energy Trading & Supply
Type: Full-time, Permanent
I'm currently supporting a growing, independent B2B energy company in their search for a Quantitative Analyst to join their trading analytics team in London. This is a fantastic opportunity for someone with strong analytical and modelling skills to directly impact trading strategy and performance in the gas and power markets.
Key Responsibilities:
- Develop models and tools to support pricing, hedging, and market analysis.
- Build custom pricing and trading tools to enhance deal execution and P&L.
- Work closely with traders to refine models and adapt to market feedback.
- Create dashboards and insights to support data-driven trading decisions.
- Analyse performance of trading models and strategies.
- Maintain and expand a library of quantitative models and tools.
- Conduct ad hoc portfolio analysis and support model documentation for validation.
- Share insights and contribute to knowledge development across the team.
Ideal Background:
- Strong programming skills (Python preferred); SQL and Excel experience.
- Experience in stochastic modelling (e.g., Monte Carlo, OU processes).
- Understanding of energy markets (power/gas) is a plus.
- Exposure to machine learning and its practical applications in modelling.
- Highly numerate, detail-oriented, and comfortable working with large datasets.
- Degree in a quantitative field (e.g. Maths, Physics, Computer Science, Engineering, Economics).
Highly preferable if you are based in London as this client can't sponsor unfortunately.
Get in touch!
Quantitative Analyst (London Area) employer: Charles Levick Limited
Contact Detail:
Charles Levick Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Analyst (London Area)
✨Tip Number 1
Familiarise yourself with the latest trends in energy trading and quantitative analysis. Understanding current market dynamics will not only help you during interviews but also demonstrate your genuine interest in the role.
✨Tip Number 2
Network with professionals in the energy trading sector. Attend industry events or join relevant online forums to connect with people who can provide insights and potentially refer you to opportunities within their companies.
✨Tip Number 3
Brush up on your programming skills, especially in Python, as well as SQL and Excel. Consider working on personal projects or contributing to open-source projects that showcase your ability to develop models and tools relevant to the role.
✨Tip Number 4
Prepare to discuss your experience with stochastic modelling and machine learning applications. Be ready to share specific examples of how you've used these techniques in past projects, as this will highlight your practical knowledge and problem-solving abilities.
We think you need these skills to ace Quantitative Analyst (London Area)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your analytical and modelling skills, particularly in relation to energy trading. Include specific examples of projects or tools you've developed that align with the responsibilities listed in the job description.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss your understanding of energy markets and how your background in programming and quantitative analysis makes you a great fit for the team.
Showcase Relevant Skills: Emphasise your programming skills, especially in Python, and any experience with SQL and Excel. Mention any exposure to stochastic modelling and machine learning, as these are key components of the role.
Highlight Team Collaboration: Since the role involves working closely with traders, mention any previous experiences where you collaborated with others to refine models or adapt strategies based on feedback. This will demonstrate your ability to work in a team-oriented environment.
How to prepare for a job interview at Charles Levick Limited
✨Showcase Your Analytical Skills
As a Quantitative Analyst, your analytical prowess is key. Be prepared to discuss specific examples of how you've developed models or tools in the past, particularly in relation to pricing or market analysis. Highlight any relevant projects that demonstrate your ability to impact trading strategies.
✨Demonstrate Programming Proficiency
Since strong programming skills are essential for this role, make sure to brush up on Python, SQL, and Excel. Be ready to discuss your experience with these languages and how you've used them in quantitative modelling or data analysis. If possible, bring along examples of your work.
✨Understand the Energy Market
Having a solid understanding of the energy markets, especially gas and power, will set you apart. Research current trends and challenges in the industry, and be prepared to discuss how they might affect trading strategies. This shows your genuine interest and readiness to contribute.
✨Prepare for Technical Questions
Expect technical questions related to stochastic modelling and machine learning applications. Review concepts like Monte Carlo simulations and be ready to explain how you've applied these techniques in real-world scenarios. This will demonstrate your depth of knowledge and problem-solving abilities.
