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- Tasks: Develop and implement pricing and risk models for Power, Renewables & Gas.
- Company: Join a leading Energy Trading Firm focused on innovative trading solutions.
- Benefits: Enjoy competitive pay, flexible working options, and a dynamic team environment.
- Why this job: Be part of a cutting-edge team making an impact in the energy sector.
- Qualifications: Experience in quantitative analysis within energy trading; strong skills in C++ and Python required.
- Other info: Opportunity to work with traders and influence key trading strategies.
The predicted salary is between 36000 - 60000 £ 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: Click To Hired
Contact Detail:
Click To Hired 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 not only help you in interviews but also demonstrate your genuine interest in the role.
✨Tip Number 2
Network with professionals in the energy trading sector, especially those who work as Quantitative Analysts. Attend industry events or join relevant online forums to gain insights and potentially get referrals.
✨Tip Number 3
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 modelling to showcase your abilities.
✨Tip Number 4
Prepare for technical interviews by practising common quantitative analysis problems and case studies related to pricing and risk models. This will help you articulate your thought process and problem-solving skills effectively.
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, the methodologies used, and the outcomes achieved to 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 structuring methodologies. Communication, teamwork, and problem-solving abilities should be included to show you can collaborate effectively.
How to prepare for a job interview at Click To Hired
✨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 Market
Familiarise yourself with the energy trading landscape, particularly in Power, Renewables, and Gas. Being able to discuss current trends and challenges in the market will show your genuine interest and knowledge.
✨Prepare for Technical Questions
Expect technical questions related to model calibration, backtesting, and the development of pricing tools. Practising these concepts beforehand will help you articulate your thoughts clearly during the interview.
