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- Tasks: Join our Energy Markets team to develop trading models in Python for short-term power and gas.
- Company: E.ON is a leading energy company driving the UK's renewable revolution for over 25 years.
- Benefits: Enjoy flexible working hours, hybrid model, and a competitive salary of £24,007 pro rata.
- Why this job: Be part of an innovative team shaping the future of energy with real-world impact.
- Qualifications: Current studies in Maths/Stats, interest in modelling, and experience with Python/C++ required.
- Other info: Flexible contract length to fit your studies, with guidance and support throughout.
We are looking for a Short Term Trading Intern to join our Energy Markets team. 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 make sure everything we do is focused on our customers, helping them with the major changes that are happening today and creating a new energy world that is decentralised, green, and interconnected.
Key Responsibilities:
- Develop trading models in Python for trading short-term power / gas
- Assess appropriate methods to produce the trading models, using historic data / data sources to calibrate parameters for the models
- Co-ordinate with other teams to understand the key inputs, what data is available and how often, to create the trading models
- Liaise with other trading team members to ensure that the final model works alongside other sections of the overall suite of trading models
- Produce documentation of the final model illustrating the mathematical concepts used, how the model works and instructions on how to operate it
What we need from you:
- Current studies towards any level a Maths/Stats based discipline
- Interest in mathematical modelling and experience with Python/C++
- Great communication skills and attention to detail
- Comfortable working independently to set goals and objectives
Here’s what you need to know:
- Flexible working arrangement (anything between 10 and 37 hours a week)
- Flexible contract length to fit your studies (with a minimum commitment of 2 months), with flexible start and end date
- £24,007 pro rata salary
- Hybrid working model (with a minimum of 40% in our Coventry office)
- Guidance and supervision as and when it’s needed
- To learn about an ever evolving and developing industry
For more information please contact em-earlycareers@eonenergy.com
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.
Short Term Trading Intern (Coventry, GB) employer: Energy Job Search
Contact Detail:
Energy Job Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Short Term Trading Intern (Coventry, GB)
✨Tip Number 1
Familiarise yourself with the energy market and current trends in renewable energy. Understanding the context in which E.ON operates will help you engage in meaningful conversations during interviews and demonstrate your genuine interest in the role.
✨Tip Number 2
Brush up on your Python skills, especially in relation to data analysis and mathematical modelling. Consider working on personal projects or contributing to open-source projects that involve trading models to showcase your practical experience.
✨Tip Number 3
Network with professionals in the energy sector, particularly those involved in trading and analytics. Attend industry events or join relevant online forums to connect with potential colleagues and gain insights into the role and company culture.
✨Tip Number 4
Prepare to discuss how you would approach developing a trading model. Think about the data sources you would use and how you would collaborate with other teams. This will show your proactive thinking and problem-solving skills during the interview process.
We think you need these skills to ace Short Term Trading Intern (Coventry, GB)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant skills and experiences related to mathematical modelling and programming in Python or C++. Emphasise any projects or coursework that demonstrate your ability to develop trading models.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the energy sector and E.ON's role in the renewable revolution. Mention specific aspects of the job description that excite you and how your background aligns with their needs.
Showcase Communication Skills: Since great communication skills are essential for this role, consider including examples in your application that demonstrate your ability to work collaboratively and convey complex information clearly.
Highlight Flexibility and Independence: E.ON values candidates who can work independently and set their own goals. In your application, provide examples of situations where you've successfully managed your time and worked autonomously to achieve objectives.
How to prepare for a job interview at Energy Job Search
✨Showcase Your Python Skills
Since the role involves developing trading models in Python, be prepared to discuss your experience with the language. Bring examples of projects you've worked on, especially those related to mathematical modelling or data analysis.
✨Understand the Energy Market
Familiarise yourself with current trends in the energy market, particularly around renewable energy and short-term trading. This knowledge will demonstrate your genuine interest in the field and help you engage in meaningful discussions during the interview.
✨Highlight Your Communication Skills
The role requires great communication skills, so be ready to explain complex concepts clearly. Practice articulating your thoughts on how you would coordinate with other teams and document your models effectively.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving abilities, especially in relation to data analysis and model calibration. Think of scenarios where you've had to analyse data or develop solutions independently, and be ready to share those experiences.
