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For Companies At a Glance
- 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 opportunities for professional growth.
- 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: Ideal for those passionate about commodities and mathematical modelling.
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!
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 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
Network with professionals already working in commodities trading or quantitative analysis. Attend industry events or join relevant online forums to gain insights and potentially get referrals that could boost your application.
✨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 showcase your ability to develop pricing tools and applications.
✨Tip Number 4
Prepare for technical interviews by practising problem-solving questions related to quantitative analysis. Focus on mathematical modelling scenarios that are relevant to the energy sector to show your expertise and readiness for the role.
We think you need these skills to ace Quantitative Analyst (Commodities)
Some tips for your application 🫡
Understand the Role: Familiarise yourself with the responsibilities of a Quantitative Analyst in the commodities sector. Highlight your experience with pricing and risk models, as well as any relevant tools you've developed.
Tailor Your CV: Make sure your CV reflects your quantitative modelling experience, particularly in energy trading or commodities. Emphasise your programming skills in C++ and Python, and include specific examples of projects or tools you've worked on.
Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about the role and how your background aligns with the company's needs. Mention your experience in developing and backtesting models, and how you can contribute to their trading strategies.
Proofread and Edit: Before submitting your application, carefully proofread your documents for any errors or inconsistencies. A polished application demonstrates attention to detail, which is crucial for a Quantitative Analyst.
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 the context of pricing and risk models. Be prepared to discuss your previous experience with these models and how you've applied them 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 that assess your problem-solving abilities and decision-making process. Think about past experiences where you had to advise traders or develop solutions under pressure, and be ready to share those examples.
