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- Tasks: Lead the transition of 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 hands-on experience in a dynamic industry.
- Why this job: Make a real impact in the energy sector while enhancing your technical skills.
- Qualifications: Studying Mathematics or Statistics with Python experience and strong communication 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:- Move 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.
- Understand and manage weather risk: Explore one of the largest and fastest-growing risks for energy Retailers.
- 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.
- 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.
- 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 - Solihull (3 months) 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 - Solihull (3 months)
✨Tip Number 1
Network like a pro! Reach out to current or former employees at E.ON on LinkedIn. A friendly chat can give you insider info and might just get your application noticed.
✨Tip Number 2
Prepare for the interview by brushing up on your Python skills and understanding energy market dynamics. We want to see your passion for the role, so be ready to discuss how your skills can help E.ON lead the energy transition.
✨Tip Number 3
Show off your problem-solving skills! Think of examples where you've tackled complex issues, especially in mathematical modelling or programming. This will demonstrate your ability to handle the challenges of the Quantitative Risk Intern role.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets into the right hands. Plus, it shows you’re serious about joining the team at E.ON.
We think you need these skills to ace Quantitative Risk Intern - Solihull (3 months)
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 and interests align with our mission to lead the energy transition to net zero.
Highlight Your Technical Skills: Make sure to showcase your Python and modelling skills in your application. We’re looking for someone who can bring their technical expertise to the table, so don’t hold back on detailing your experience!
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate strong communication skills, so make sure your writing is clear and easy to understand. Avoid jargon unless it’s relevant!
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 with E.ON.
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 or data analysis, and think about how you can apply those skills to the energy sector.
✨Understand the Energy Market
Familiarise yourself with the current trends in the energy market, especially around Contracts for Difference (CfD) and weather risks. Being able to discuss recent developments or challenges in the industry will show your genuine interest and help you stand out.
✨Showcase Your Communication Skills
Strong communication is key in this role. Prepare to explain complex concepts clearly and concisely, as you may need to translate technical information into actionable insights. Practise explaining your past projects to a non-technical audience.
✨Be Ready to Take Ownership
The job requires someone who can work independently and take charge of projects. Think of examples from your studies or previous experiences where you took initiative and led a project. This will demonstrate your ability to manage tasks effectively.