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- Tasks: Develop and implement pricing and risk models for Power, Renewables & Gas.
- Company: Join a dynamic Energy Trading Firm focused on innovative trading solutions.
- Benefits: Enjoy competitive pay, flexible working options, and a vibrant team culture.
- Why this job: Make an impact in the energy sector while honing your quantitative skills.
- Qualifications: Experience in quantitative analysis within energy trading; strong C++ and Python skills required.
- Other info: Opportunity to work with cutting-edge tools and collaborate with traders.
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 (Commodities) employer: Bonhill Partners
Contact Detail:
Bonhill Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Analyst (Commodities)
✨Tip Number 1
Familiarise yourself with the latest trends in energy trading and commodities markets. Understanding current market dynamics will help you engage in meaningful conversations during interviews and demonstrate your passion for the field.
✨Tip Number 2
Brush up on your programming skills, particularly in C++ and Python. Consider working on personal projects or contributing to open-source projects that involve quantitative analysis to showcase your technical abilities.
✨Tip Number 3
Network with professionals in the energy trading sector. Attend industry conferences, webinars, or local meetups to connect with potential colleagues and learn about job openings that may not be advertised widely.
✨Tip Number 4
Prepare to discuss specific pricing and risk models you've worked on in the past. Be ready to explain your thought process and the impact of your work, as this will demonstrate your hands-on experience and analytical skills.
We think you need these skills to ace Quantitative Analyst (Commodities)
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're interested in the Quantitative Analyst position specifically at this Energy Trading Firm. Mention your experience with pricing and risk models, and how you can contribute to their Quant Analytics group.
Showcase Relevant Projects: If you've worked on specific projects related to pricing tools or risk models, include these in your application. Detail your role and the impact of your work, as this will demonstrate your practical experience.
Highlight Soft Skills: While technical skills are crucial, don't forget to mention soft skills that are important for advising traders and structures. Communication, teamwork, and problem-solving abilities should be included to show you can collaborate effectively.
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 real-world scenarios.
✨Showcase Your Programming Skills
Since strong C++ and Python programming skills are essential for this role, be ready to demonstrate your proficiency. You might be asked to solve a coding problem or explain your approach to developing pricing tools.
✨Understand the Energy Market
Familiarise yourself with the current trends and challenges in the energy trading sector, particularly in Power, Renewables, and Gas. This knowledge will help you engage in meaningful discussions and show your genuine interest in the field.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions where you may need to advise traders on methodologies or tackle hypothetical situations. Practising these types of questions can help you articulate your thought process clearly during the interview.
