Student Assistant

Imagine a future where your analytical curiosity supports how we manage risk across global energy markets.

Join us in this role where you'll support the validation of quantitative risk models used across Ørsted. You'll gain hands-on experience working with data-driven analyses and collaborate closely with risk professionals and energy market specialists while contributing to how model risk is understood and communicated across the organisation.

You'll be part of Group Model Risk within Group Risk, where you together with your colleagues will support a newly established model validation team acting as a second line of defense in relation to some of the key models in Ørsted. The team works closely with model owners, risk specialists, and energy market experts across Ørsted to assess the models, and you'll collaborate with colleagues across locations while contributing to analyses used across the organisation.

As a team, we combine analytical curiosity with openness and collaboration, and we value learning, dialogue, and building strong foundations for robust and transparent model validation together.

You'll play an important role in

• supporting the analysis of market, liquidity, and credit risk models to identify limitations and improvement areas.
• working with data and quantitative models to perform analytical tasks under guidance from senior colleagues.
• contributing to clear and well-structured documentation and reporting of validation results.
• using coding tools, preferably Python, to support validation, testing, and monitoring activities.

To succeed in the role, you

• are studying towards a university degree in finance, economics, mathematics, physics, data science, engineering, or equivalent.
• have an interest in quantitative models, data analysis, and risk-related topics.
• are comfortable working with code, preferably Python, to analyse data and support modelling tasks.
• bring a structured and detail-oriented approach and enjoy learning through collaboration.
• are able to work from our Gentofte office for an average of around 15 hours per week.

Shape the future with us

Send your application to us as soon as possible. We'll be conducting interviews on a continuous basis and reserve the right to take down the advert when we've found the right candidate. As an applicant or employee, you may request reasonable work and position accommodation or adjustments via [email protected]. Please note that for your application to be taken into consideration, you must submit your application via our online career pages and answer the screening questions relevant for your country. We don't take applications or inquiries from external recruiters or agencies into account for this position. Maybe you've read the above and can see you have some transferable skills, even though they don't quite match all the points. If you think you can bring something to the team, we still encourage you to apply.