Desarrollador Senior de Modelos de Riesgo

Imagine a future where you translate complex risks into decisions at the highest level of an organisation. Do you enjoy improving models, tooling, and ways of working and exploring how new technologies like AI can make us better?

You'll be part of the Governance & Risk Analytics team where you, together with your colleagues, will be responsible for developing, operating, and continuously improving core risk models that quantify risk to key accounting measures and support risk oversight across Ørsted.

As a team, we have a collaborative and inclusive working culture. Knowledge sharing, experimentation, and continuous learning are central to how we work. You'll be encouraged to challenge existing approaches, contr​ibute new ideas, and help shape how our models, tools, and development setup evolve over time, including increased use of AI where it adds real value. We value open dialogue and take pride in supporting Ørsted's vision of creating a world that runs entirely on green energy, while making sure there's always room for laughter and learning.

You'll play an important role in

• developing and evolving risk models, including stress testing and scenario analysis, that support senior decision-making​
• improving model quality, transparency, and robustness​
• contributing to clear and accessible documentation so models are understandable, trusted, and easy to work with
• collaborating closely with stakeholders to translate requirements into practical solutions
• running and supporting monthly production cycles: preparing inputs, monitoring runs, troubleshooting issues, and helping ensure timely and reliable delivery
• exploring and applying AI and modern tooling to enhance model development, testing, and workflows.

To succeed in the role, you

• have solid Python skills and working knowledge of SQL and data handling​
• are comfortable working with code in a structured environment (e.g. version control, modular code, unit testing)
• have experience with or a willingness to learn, ReactJS and MUI frontend development
• have relevant experience, preferably within a financial institution, energy/commodities company, or similar analytical environment
• have a quantitative mindset (e.g. mathematics, economics, engineering, or similar)
• can understand and debug existing systems and contribute to incremental improvements
• communicate clearly and collaborate effectively with both technical and non-technical stakeholders
• have some exposure to risk concepts such as stress testing or scenario analysis, or an interest in learning.

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.

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.

Position salary range

For this position, the base pay range is 15,000PLN - 22,000PLN for the advertised location. The offered base salary will be determined within this range based on relevant skills, experience, and expected role fulfilment within the stated pay range to ensure a fair and competitive offer. Where applicable, you may also be eligible for variable payment and a comprehensive benefits package.