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For Companies At a Glance
- Tasks: Join our trading analytics team to develop models and tools for energy market strategies.
- 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 performance while working in a dynamic and innovative environment.
- Qualifications: A degree in a quantitative field and strong programming skills are essential.
- Other info: On-site position in the vibrant city of London, perfect for those passionate about energy markets.
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).
Front Office Quantitative Analyst employer: Charles Levick Limited
Contact Detail:
Charles Levick Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Front Office Quantitative Analyst
✨Tip Number 1
Familiarise yourself with the latest trends and developments in the energy trading sector. Understanding the current market dynamics 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, especially in Python, as it's preferred for this role. Consider working on personal projects or contributing to open-source projects that involve quantitative analysis to showcase your abilities.
✨Tip Number 3
Network with professionals in the energy trading industry. Attend relevant meetups or webinars to connect with people who can provide insights into the role and potentially refer you to opportunities within their companies.
✨Tip Number 4
Prepare to discuss specific examples of how you've used data analysis to drive decisions in past roles. Being able to articulate your experience with modelling and analytics will set you apart from other candidates.
We think you need these skills to ace Front Office Quantitative Analyst
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 include these in your application. Describe your role, the tools you used, and the outcomes of these projects to demonstrate your practical experience.
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 that involves data analysis and model validation.
How to prepare for a job interview at Charles Levick Limited
✨Showcase Your Analytical Skills
As a Quantitative Analyst, your analytical skills are crucial. Be prepared to discuss specific examples of how you've used data analysis and modelling in previous roles. Highlight any relevant projects that demonstrate your ability to develop models and tools for pricing and market analysis.
✨Demonstrate Programming Proficiency
Since strong programming skills are essential for this role, make sure to mention 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 and be ready to showcase your technical abilities.
✨Understand the Energy Market
Having a solid understanding of the energy markets, particularly gas and power, will set you apart from other candidates. Research current trends, challenges, and opportunities in the energy sector, and be prepared to discuss how these factors can impact trading strategies.
✨Prepare for Machine Learning Discussions
If you have exposure to machine learning, be ready to discuss its practical applications in modelling. Prepare to explain how you've used machine learning techniques in your work, and think about how they could be applied to enhance trading strategies in the energy market.
