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For Companies At a Glance
- 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: Be part of a cutting-edge team making an impact in the energy sector while honing your analytical skills.
- Qualifications: Experience in quantitative analysis within energy trading and strong programming skills in C++ or Python required.
- Other info: Exciting opportunity for those passionate about commodities and mathematical modelling.
The predicted salary is between 48000 - 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 specific pricing and risk models used in the energy trading sector. Understanding these models will not only help you during interviews but also demonstrate your genuine interest in the role.
✨Tip Number 2
Brush up on your C++ and Python programming skills, as these are crucial for the role. Consider working on small projects or contributing to open-source projects that involve quantitative analysis to showcase your coding abilities.
✨Tip Number 3
Network with professionals in the energy trading industry. Attend relevant conferences or webinars, and connect with people on LinkedIn. This can provide valuable insights and potentially lead to referrals.
✨Tip Number 4
Prepare to discuss real-world applications of your quantitative analysis skills. Think of examples where you've successfully implemented models or tools that had a tangible impact, as this will set you apart from other candidates.
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: Write a cover letter that specifically addresses the key responsibilities mentioned in the job description. Explain how your previous experience aligns with the development, implementation, and backtesting of pricing and risk models.
Showcase Your Technical Skills: In your application, provide examples of projects or tasks where you have successfully developed pricing tools or applications for traders. Highlight any specific methodologies you have advised on.
Proofread Your Application: Before submitting, carefully proofread your application to ensure there are no errors. A well-presented application reflects your attention to detail, which is crucial for a role involving quantitative analysis.
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 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 coding abilities. You might be asked to solve a problem or explain your thought process while coding.
✨Understand the Energy Trading Landscape
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 during the interview.
✨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.
