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- Tasks: Transform complex hedge models from Excel to Python and streamline energy market risk management.
- Company: Join E.ON, a leader in the energy transition towards a sustainable future.
- Benefits: Flexible working options, competitive salary, and valuable industry insights.
- Why this job: Gain hands-on experience in a fast-growing sector while making a real impact.
- Qualifications: Studying Maths, Statistics, or related fields with Python skills.
- Other info: Award-winning workplace with opportunities for career growth and development.
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:
- 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.
- 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.
- Support discussions on CfD, evaluating how scheme nuances, market changes (including negative prices), and Clean Power 2030 uncertainties affect customer bills and hedge effectiveness.
- 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.
Quantitative Risk Intern employer: E.ON UK PLC
Contact Detail:
E.ON UK PLC Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Risk Intern
✨Tip Number 1
Network like a pro! Reach out to current or former interns at E.ON on LinkedIn. Ask them about their experiences and any tips they might have for the interview process. Personal connections can give you insights that you won't find anywhere else.
✨Tip Number 2
Brush up on your Python skills! Since you'll be working on migrating models from Excel to Python, make sure you're comfortable with coding. Try building a small project or two that showcases your modelling skills – it’ll impress the interviewers!
✨Tip Number 3
Prepare for scenario-based questions! Think about how you would handle real-world situations related to energy markets and risk management. Practising these scenarios will help you articulate your thought process during the interview.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining the team and ready to take on the challenge of the energy transition.
We think you need these skills to ace Quantitative Risk Intern
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your Python and modelling skills in your application. We want to see how you can apply these in a real-world context, so don’t hold back on sharing relevant projects or experiences!
Tailor Your Application: Take the time to customise your application for the Quantitative Risk Intern role. Mention specific aspects of the job description that excite you and how your background aligns with our mission at E.ON.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate strong communication skills, so make sure your thoughts are well-organised and easy to follow.
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.
How to prepare for a job interview at E.ON UK PLC
✨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 apply that knowledge to the energy sector.
✨Understand the Energy Market Landscape
Familiarise yourself with current trends in the energy market, especially around Contracts for Difference (CfD) and weather risk models. Showing that you understand these concepts will demonstrate your genuine interest in the role and the industry.
✨Communicate Clearly and Confidently
Strong communication skills are a must for this position. Practice explaining complex ideas in simple terms, as you'll need to translate intricate inputs into actionable instructions. Consider doing mock interviews with friends to refine your delivery.
✨Show Your Attention to Detail
This role requires a keen eye for detail, especially when dealing with complex positions. Prepare examples of how you've successfully managed details in past projects or studies, and be ready to discuss how you ensure accuracy in your work.