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- Tasks: Join our trading analytics team to develop models and tools for energy trading.
- Company: A growing, independent B2B energy company making waves in the market.
- 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 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!
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 field.
✨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 trading analytics.
✨Tip Number 4
Prepare to discuss specific examples of how you've used quantitative methods in past roles or projects. Be ready to explain your thought process and the impact of your work on trading strategies or performance.
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 programming skills (especially in Python) can contribute to the trading analytics team.
Showcase Relevant Experience: If you have experience with stochastic modelling or machine learning, be sure to include this in your application. Provide concrete examples of how you've applied these skills in previous roles or projects.
Highlight Team Collaboration: Since the role involves working closely with traders, mention any past experiences where you've collaborated with cross-functional teams. This will demonstrate your ability to adapt models based on market feedback and contribute to team knowledge development.
How to prepare for a job interview at Charles Levick Limited
✨Showcase Your Analytical Skills
Be prepared to discuss your analytical and modelling skills in detail. Bring examples of past projects where you've developed models or tools, especially those related to pricing or market analysis in the energy sector.
✨Demonstrate Programming Proficiency
Since strong programming skills are essential for this role, be ready to talk about your experience with Python, SQL, and Excel. You might even be asked to solve a coding problem during the interview, so brush up on your coding skills beforehand.
✨Understand the Energy Market
Familiarise yourself with current trends and challenges in the energy trading market, particularly in gas and power. Showing that you have a grasp of the industry will demonstrate your genuine interest and readiness for the role.
✨Prepare Questions for the Interviewers
Have insightful questions ready to ask your interviewers. This could include inquiries about the company's trading strategies, the tools they use, or how they measure the success of their models. It shows your enthusiasm and engagement with the role.
