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- Tasks: Join our team to develop and implement pricing and risk models for energy trading.
- Company: We're a leading Energy Trading Firm focused on innovation in Power, Renewables & Gas.
- Benefits: Enjoy flexible working options and a dynamic work environment with great perks.
- Why this job: Make an impact in the energy sector while working with cutting-edge technology and talented professionals.
- Qualifications: Experience in quantitative analysis within energy trading and strong skills in C++ and Python required.
- Other info: This role offers a unique opportunity to shape the future of energy trading.
The predicted salary is between 43200 - 72000 £ per year.
We\’re currently supporting an Energy Trading Firm in their search for a Quantitative Analyst to join their Quant Analytics group. The successful candidate will be responsible for implementing pricing and risk models used across Power, Renewables & Gas.
Key Responsibilities:
- Development, implementation, calibration & backtesting of pricing and risk models.
- Development of pricing tools and applications for traders.
- Advise traders and structures on methodologies.
Required Experience:
- Quantitative Analyst working within an energy trading company, or on a commodities trading desk.
- Quant modelling experience – Pricing/Risk models
- Strong mathematical modelling
- Strong C++ / Python programming
Look forward to hearing from you!
Quantitative Analyst - Energy Trading employer: Bonhill Partners
Contact Detail:
Bonhill Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Analyst - Energy Trading
✨Tip Number 1
Familiarise yourself with the latest trends in energy trading and quantitative analysis. Understanding the current market dynamics and how they affect pricing and risk models will give you an edge during interviews.
✨Tip Number 2
Network with professionals in the energy trading sector. Attend industry conferences or webinars to connect with potential colleagues and learn about their experiences, which can provide valuable insights for your application.
✨Tip Number 3
Brush up on your programming skills, particularly in C++ and Python. Being able to demonstrate your coding proficiency through practical examples or projects can significantly enhance your candidacy.
✨Tip Number 4
Prepare to discuss specific quantitative models you've worked on in the past. Be ready to explain your thought process, the challenges you faced, and how you overcame them, as this will showcase your problem-solving abilities.
We think you need these skills to ace Quantitative Analyst - Energy Trading
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in quantitative analysis, particularly within energy trading or commodities. Emphasise your skills in mathematical modelling and programming languages like C++ and Python.
Craft a Strong Cover Letter: In your cover letter, explain why you are interested in the role and how your background aligns with the responsibilities of developing and implementing pricing and risk models. Mention any specific projects or achievements that demonstrate your expertise.
Showcase Technical Skills: Include a section in your application that showcases your technical skills, particularly in quantitative modelling and programming. Provide examples of tools or applications you've developed for traders, as this will be crucial for the role.
Highlight Team Collaboration: Since advising traders and structures is part of the job, mention any experience you have working collaboratively in teams. Highlight instances where you successfully communicated complex methodologies to non-technical stakeholders.
How to prepare for a job interview at Bonhill Partners
✨Brush Up on Quantitative Modelling
Make sure you have a solid understanding of quantitative modelling, especially in the context of pricing and risk models. Be prepared to discuss your previous experience and how you've applied these models in energy trading or commodities.
✨Showcase Your Programming Skills
Since strong C++ and Python programming skills are essential for this role, be ready to demonstrate your coding abilities. You might be asked to solve a problem or explain your thought process while coding, so practice common algorithms and data structures.
✨Understand the Energy Market
Familiarise yourself with the current trends and challenges in the energy market, particularly in power, renewables, and gas. Being able to discuss recent developments will show your genuine interest and knowledge in the field.
✨Prepare for Technical Questions
Expect technical questions related to model calibration, backtesting, and the development of pricing tools. Review key concepts and be ready to explain your approach to solving complex problems in a clear and concise manner.
