At a Glance
- Tasks: Join our trading analytics team to develop models and tools for energy market analysis.
- 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: A degree in a quantitative field and strong programming skills are essential.
- Other info: Experience in energy markets and machine learning is a plus!
The predicted salary is between 36000 - 60000 £ per year.
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.
- Develop models and tools to support pricing, hedging, and market analysis.
- Create dashboards and insights to support data-driven trading decisions.
- Analyse performance of trading models and strategies.
- Conduct ad hoc portfolio analysis and support model documentation for validation.
- Strong programming skills (Python preferred); SQL and Excel experience.
- Understanding of energy markets (power/gas) is a plus.
- Exposure to machine learning and its practical applications in modelling.
- Degree in a quantitative field (e.g. Maths, Physics, Computer Science, Engineering, Economics).
Quantitative Analyst (Contract) employer: Charles Levick Limited
Contact Detail:
Charles Levick Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Analyst (Contract)
✨Tip Number 1
Familiarise yourself with the latest trends in energy trading, especially in gas and power markets. This knowledge will not only help you during interviews but also demonstrate your genuine interest in the field.
✨Tip Number 2
Brush up on your programming skills, particularly in Python, as it's preferred for this role. Consider working on personal projects or contributing to open-source projects that involve data analysis or modelling to showcase your abilities.
✨Tip Number 3
Network with professionals in the energy trading sector. Attend industry events or join relevant online forums to connect with others who can provide insights or even refer you to opportunities within their companies.
✨Tip Number 4
Prepare to discuss specific examples of how you've used quantitative analysis in past roles. 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 (Contract)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your analytical and modelling skills, particularly in relation to energy markets. Include any relevant experience with Python, SQL, and Excel, as well as your educational background in a quantitative field.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your skills and experiences align with the responsibilities of the Quantitative Analyst position, especially in developing models and tools for trading strategies.
Showcase Relevant Projects: If you have worked on projects involving machine learning or energy market analysis, be sure to mention these in your application. Provide specific examples of how your contributions led to successful outcomes.
Proofread Your Application: Before submitting your application, carefully proofread all documents for spelling and grammatical errors. A polished application reflects your attention to detail, which is crucial for a role in quantitative analysis.
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 that had a direct impact on decision-making, especially in trading or market analysis.
✨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 the current trends and challenges in the energy markets, particularly in gas and power. Being able to discuss these topics will show your genuine interest in the industry and how it relates to the role.
✨Prepare for Technical Questions
Expect technical questions related to quantitative analysis and machine learning applications. Review key concepts and be ready to explain how you would apply them in real-world scenarios relevant to trading strategies.