At a Glance
- Tasks: Analyse energy markets using advanced mathematical techniques and develop risk models.
- Company: Join E.ON UK, a leader in energy trading and pricing.
- Benefits: Competitive salary, hybrid working, and excellent employee benefits.
- Other info: Opportunity to work in a dynamic team with career growth potential.
- Why this job: Make a real impact in the energy sector while enhancing your analytical skills.
- Qualifications: Degree in a numerical discipline and strong analytical abilities required.
The predicted salary is between 37659 - 50250 £ per year.
We are looking for a Quantitative Risk Analyst to join our team on a 12 month fixed term contract. The role will be based at Solihull.
- Salary - £37,659 - £50,250 plus excellent employee benefits
- Location – Solihull (Hybrid working, 2 days a week onsite)
Are you passionate about applying advanced mathematical techniques to real-world energy markets?
In this role you will be operating at the centre of E.
ON UK's energy trading and pricing portfolio, delivering high-quality quantitative analysis and commercial insight to Energy Markets and the wider business.
You will be able to use your mathematical techniques and apply real world concepts, building your knowledge of the energy industry and the wholesale market.
You will be working in Export, Structuring & Analysis using complex modelling to understand, and where possible, mitigate risk.
Your work will feed into pricing, value contracts and financial risk submissions, and contribute to senior decision‑making meetings.
- Main responsibilities of the role
- Develop, maintain, and calibrate models for automated feeds into Pricing, Hedging and Cost/Revenue Forecasting.
- Provide detailed analysis and modelling expertise to support the risk run process feeding into financial risk submissions.
- Support the development of risk mitigating proposals through close monitoring and interpretation of external environment changes in the wholesale and competitive markets as well as internally through business process change or business issue identification.
- Work with the wider Export, Structuring & Analysis team to enhance its reputation as an analytical centre of excellence.
- What we need from you
- You will be educated to degree level in a numerical discipline.
- You are highly numerate with strong ability to analyse highly complex issues and distil them into meaningful metrics and solutions.
- You can apply graduate level mathematical and statistical techniques to analysis of energy market risks.
- You have a keen interest to take responsibility proactively, often across unstructured problems, and to demonstrate ownership in these areas.
- Ideally you will have advanced modelling skills to include coding competence in one or more of Matlab, Python, C++ or the ability to understand and interpret these environments.
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Quantitative Risk Analyst employer: E.ON UK
E.ON UK is an excellent employer for Highways Electricians, offering a supportive work culture that prioritises safety and professional development. Located in Rochdale, employees benefit from opportunities to enhance their skills through ongoing training and a commitment to innovation in street lighting solutions. Join us to be part of a team that values your contributions and fosters a rewarding career in the heart of the North West.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Risk Analyst
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like E.ON UK before they're even advertised!
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Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
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We think you need these skills to ace Quantitative Risk Analyst
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at E.ON UK, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to E.ON UK, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab E.ON UK’s attention and show the tangible impact of your work.
How to prepare for a job interview at E.ON UK
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at E.ON UK.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at E.ON UK.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at E.ON UK.
