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- Tasks: Migrate hedge models to Python and analyse energy market dynamics.
- Company: Join E.ON, a leader in the energy transition with a focus on sustainability.
- Benefits: Flexible working options, competitive salary, and professional development opportunities.
- Why this job: Gain hands-on experience in a fast-growing sector while enhancing your technical skills.
- Qualifications: Studying Mathematics or Statistics with Python experience; strong communication skills required.
- Other info: Award-winning workplace with a dynamic environment and flexible internship duration.
The predicted salary is between 25007 - 25007 £ per year.
We need everyone's positive energy and innovative thinking to lead the energy transition to net zero. That's why we welcome applications from all backgrounds and experiences and have a range of flexible working options to suit everyone! We are E.ON and we're leading the energy transition, providing smart, sustainable and personalised solutions for customers at home, in business and across entire towns and cities.
We are looking for a Quantitative Risk Intern to join our Energy Markets team in Solihull. This is an exciting opportunity to apply your Python and modelling skills in a real-world energy markets context, gaining hands-on exposure to one of the fastest-growing and most complex areas of risk in the UK energy sector.
Here’s what you’ll be doing:
- Migrate and modernise our CfD hedge model: Lead the transition of our Contracts for Difference (CfD) hedge position model from Excel to Python. Translate complex inputs into clear, actionable hedge instructions. This migration will streamline updates, reduce errors on complex positions, and enable integration with weather risk models, Clean Power 2030 risk evaluations, and CfD derivative valuations.
- Understand and manage weather risk: Explore one of the largest and fastest-growing risks for energy retailers. Learn how weather and CfD derivatives are used to protect both our customers and the E.ON business.
- Analyse CfD market dynamics: Support discussions on CfD, evaluating how scheme nuances, market changes (including negative prices), and Clean Power 2030 uncertainties affect customer bills and hedge effectiveness.
- Enhance your technical skills: Build practical Python expertise while gaining a deeper understanding of energy markets and risk management.
What we need from you:
- Currently studying Mathematics, Statistics, or a related discipline.
- Interest in mathematical modelling and experience with Python (Power BI is a plus).
- Strong communication skills and attention to detail.
- Comfortable working independently and taking ownership of projects.
- Available to attend an interview in April 2026, if shortlisted.
- Available to undertake the internship from June 2026 to October 2026.
Here’s what you need to know:
- Flexible working arrangements and hybrid options available.
- Contract length adaptable to your studies (minimum 2 months) with flexible start and end dates.
- Guidance and supervision will be provided as needed.
- Opportunity to gain insights into a dynamic and evolving industry.
- Salary: £25,007 pro rata.
Award-Winning Workplace: Proud to be named a Sunday Times Best Place to Work 2025 and Best Place to Work for 16–34-year-olds.
We reserve the right to close the vacancy early if a high number of applications are received.
For more information contact em-earlycareers@eonenergy.com
About us: E.ON is a privately owned international energy company. Our 75,000 colleagues in 15 countries work daily towards the improvement of technical innovations and user-friendly customer solutions for the new energy world.
Quantitative Risk Intern employer: E.ON UK
Contact Detail:
E.ON UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Risk Intern
✨Tip Number 1
Get to know E.ON and the energy sector! Research their projects, values, and recent news. This will help you tailor your conversations during interviews and show that you're genuinely interested in being part of their mission.
✨Tip Number 2
Practice your Python skills before the interview. Brush up on relevant libraries and tools that might come up in discussions. Being able to talk confidently about your technical abilities will set you apart from other candidates.
✨Tip Number 3
Prepare some questions to ask during your interview. This shows your enthusiasm and helps you gauge if E.ON is the right fit for you. Think about what you want to learn from the internship and how it aligns with your career goals.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re proactive and serious about joining the team at E.ON.
We think you need these skills to ace Quantitative Risk Intern
Some tips for your application 🫡
Show Your Passion for Energy: When you're writing your application, let your enthusiasm for the energy sector shine through! We want to see how your background in Mathematics or Statistics connects with our mission to lead the energy transition. Make it personal and relatable!
Highlight Your Python Skills: Since this role involves migrating models to Python, be sure to showcase any relevant experience you have with the language. Whether it's coursework, projects, or personal coding adventures, we want to know how you've used Python to solve problems.
Be Clear and Concise: We appreciate strong communication skills, so keep your application clear and to the point. Use bullet points if necessary to make your achievements stand out. Remember, attention to detail is key, so proofread before hitting send!
Apply Through Our Website: Make sure to submit your application through our website for the best chance of being noticed. It’s the easiest way for us to keep track of all the amazing candidates like you who are eager to join our team!
How to prepare for a job interview at E.ON UK
✨Know Your Python Inside Out
Since the role involves migrating models from Excel to Python, make sure you brush up on your Python skills. Be ready to discuss specific projects where you've used Python for modelling, and think about how you can explain complex concepts in a simple way.
✨Understand the Energy Market
Familiarise yourself with the current trends in the energy market, especially around Contracts for Difference (CfD) and weather risk. Being able to discuss recent developments or challenges in the sector will show your genuine interest and understanding of the field.
✨Showcase Your Attention to Detail
This role requires a keen eye for detail, so prepare examples that highlight your ability to manage complex data accurately. Think of instances where your attention to detail made a significant difference in your work or studies.
✨Communicate Clearly and Confidently
Strong communication skills are essential for this position. Practice explaining your ideas clearly and concisely, as you'll need to translate complex inputs into actionable instructions. Consider doing mock interviews to refine your delivery.