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- Tasks: Transition hedge models from Excel to Python and analyse market dynamics.
- Company: Leading energy company with a focus on innovation and sustainability.
- Benefits: Flexible internship with a competitive salary of £25,007 pro rata.
- Why this job: Gain hands-on experience in risk management within the energy sector.
- Qualifications: Studying Mathematics or Statistics with Python skills.
- Other info: Opportunity to learn about managing weather risks in a dynamic environment.
The predicted salary is between 25007 - 25007 £ per year.
A leading energy company is seeking a Quantitative Risk Intern to join their Energy Markets team in Solihull. The role involves transitioning hedge models from Excel to Python, managing weather risks, and analyzing market dynamics.
Candidates should be currently studying Mathematics or Statistics and possess Python skills. This is a flexible internship offering opportunities to learn about risk management in the energy sector, with a salary of £25,007 pro rata.
Energy Markets Quant Risk Intern - Python & CfD Hedge in Solihull employer: E.ON UK PLC
Contact Detail:
E.ON UK PLC Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Energy Markets Quant Risk Intern - Python & CfD Hedge in Solihull
✨Tip Number 1
Network like a pro! Reach out to current or former interns at the company on LinkedIn. A friendly chat can give us insider info and maybe even a referral!
✨Tip Number 2
Show off your Python skills! Prepare a small project or analysis that demonstrates your ability to transition models from Excel to Python. This will make you stand out during interviews.
✨Tip Number 3
Stay updated on market dynamics! Read up on recent trends in the energy sector and be ready to discuss them. It shows we’re genuinely interested and knowledgeable about the field.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to apply directly!
We think you need these skills to ace Energy Markets Quant Risk Intern - Python & CfD Hedge in Solihull
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your Python experience in your application. We want to see how you've used it in your studies or projects, especially if it relates to risk management or data analysis.
Connect Your Studies to the Role: Since you're studying Mathematics or Statistics, link your coursework to the tasks you'll be doing with us. Explain how your academic background prepares you for transitioning hedge models and managing weather risks.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon and get straight to the point about why you're a great fit for the Quant Risk Intern position.
Apply Through Our Website: Don't forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity in the energy sector.
How to prepare for a job interview at E.ON UK PLC
✨Know Your Python
Make sure you brush up on your Python skills before the interview. Be ready to discuss any projects you've worked on, especially those involving data analysis or modelling. Practising coding challenges can also help you feel more confident.
✨Understand Energy Markets
Familiarise yourself with the basics of energy markets and risk management. Read up on current trends and challenges in the sector. This will not only show your interest but also help you answer questions about how you can contribute to the team.
✨Excel to Python Transition
Since the role involves transitioning hedge models from Excel to Python, think about how you would approach this task. Be prepared to discuss your understanding of both tools and how you would tackle the transition effectively.
✨Ask Insightful Questions
Prepare some thoughtful questions to ask at the end of your interview. This could be about the team's current projects, the company's approach to managing weather risks, or how they see the future of energy markets. It shows you're engaged and genuinely interested in the role.