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Junior Pricing Analyst (student)
Are you interested in working with real data from renewable energy assets and applying quantitative models to assess market risk?
As a Junior Pricing Analyst, you will support pricing and commercial decision-making across our renewable energy portfolio through data-driven analysis. Working alongside experienced colleagues, you will help ensure that asset performance and market dynamics are accurately reflected in our risk assessments before prices are submitted to the market.
About the team
The Pricing team develops and operates the pricing infrastructure used to evaluate power purchase agreements and support risk management across the business. This includes pricing renewable energy assets, supporting commercial deal structuring, and developing analytical tools that enable informed decision-making.
We collaborate closely with portfolio managers, risk managers, and product developers to ensure pricing is accurate, transparent, and efficient. The team places strong emphasis on understanding underlying risks and how to mitigate them, while continuously improving the systems that support our daily work.
About the role
You will support our pricing activities and contribute to the development of analytical tools in Python. The role combines operational responsibilities with quantitative analysis, providing practical experience with market data, energy systems, and how renewable energy risks are structured and transferred through Power Purchase Agreements (PPAs).
For me, the most exciting part of this role is that you gain hands-on experience with operational pricing in a fast-paced trading environment early in your career. We trust our student analysts with meaningful responsibility from day one, and you quickly see how your work contributes to important business decisions.
Key responsibilities
As part of the Pricing team, your responsibilities will include:
- Supporting operational pricing of renewable energy assets, including wind and solar portfolios.
- Validating and preparing market and asset data used in pricing requests.
- Performing quantitative analysis to improve pricing methodologies and models.
- Supporting the development of internal tools and lightweight front-end interfaces used by pricing analysts.
- Improving pricing workflows and operational processes.
What we are looking for
We are looking for a student who enjoys working with numbers, data, and structured problem-solving. The role includes day-to-day operational responsibilities, making reliability, discipline, and strong attention to detail essential.
Must-have qualifications
- Currently enrolled in a relevant degree programme (e.g., Economics, Finance, Mathematics, Engineering, Data Science, or a similar quantitative field).
- Hands-on experience with Python or a similar programming language, for example through coursework, personal projects, or internships.
- Strong analytical skills with a solid understanding of mathematics and data handling.
- Familiarity with Git or similar version control systems.
- Fluent in English, both written and spoken.
How you work
- Reliable and responsible, with a strong sense of ownership for assigned tasks.
- Structured and detail-oriented, with the ability to deliver accurate work under tight deadlines.
- Comfortable working with fluctuating workloads and shifting priorities.
- Curious, eager to learn, and motivated to improve.
We especially value candidates who explore quantitative problems beyond coursework, for example through personal projects, programming, data analysis, or contributions to open-source projects.
What we offer
You will join a supportive and collaborative environment where students take on meaningful responsibilities from the start.
As part of our team, you can expect:
- Exposure to real pricing decisions in a dynamic energy trading environment, working closely with experienced colleagues.
- Practical knowledge of energy market and asset data, such as spot power prices and wind turbine production data.
- Hands-on experience developing and applying quantitative models to support commercial decision-making.
- Insight into how renewable energy risks are structured and transferred through commercial power purchase agreements.
- Experience working with modern analytical tools including version-controlled workflows and cloud-based data infrastructure.
The role is based in our Aalborg office and is a paid-by-the-hour student position that can be combined with your studies, typically 10–15 hours per week.
We expect you to work one fixed day per week from the office, with the remaining hours arranged flexibly.
Interested?
If this sounds like a challenge you would enjoy, we would be happy to hear from you. Apply through our recruitment system, or reach out if you would like to learn more about the role.
Want to know more?
Feel free to reach out if you have any questions about this opportunity
