As an Intern, within the team of Quantitative Risk Modelling you will contribute to the implementation of newly devel...

Intern - Quantitative Risk Analyst

Statkraft has been making clean energy possible for over a century. Unrivaled pioneering spirit and a strong commitment towards a more sustainable future. That’s what we offer. Today, we are Europe’s largest renewable energy producer and employ more than 6,200 colleagues in 20 countries around the world. Our vision is clear - to renew the way the world is powered. But there is more work to be done and that is why we need you to help us.

We promise, that here with us, you will build a better way. You will take ownership for projects, you will collaborate across boundaries, you will embrace new skills, guide and be surrounded by some of the smartest people in the industry. Together we lead the energy transition to ensure a more sustainable future for our customers, society and future generations. Together, let’s renew the way the world is powered by building a better way.

In addition to being a leading renewable energy integrator, Statkraft is active in proprietary trading and origination business of energy commodities with desks in Amsterdam, Düsseldorf, London, Oslo, and Stockholm. The Risk Department plays a central role in analysing, measuring, managing, and communicating the risks associated with all trading and origination activities of Statkraft. Job Description

The Quantitative Risk Modelling team delivers high-quality risk modelling solutions to the Risk department and ensures that our risk measurement is aligned with Statkraft’s Market Operation's needs, as well as changes in the energy markets.

As an Intern , within the team of Quantitative Risk Modelling you will:

Contribute to the implementation of newly developed risk and valuation models for physical and financial energy assets, options trading, and non-standard long-term contracts such as PPAs or BESS contractsImplement enhancements to existing risk and valuation models to improve model quality and extend model scopeEnsure stability of core tools by adhering to existing coding standards and testing frameworksLearn about model and software development in a professional environment with a focus on high-quality, robust and efficient implementations

Prefered starting date: 01.01.2027, but can be discussed
**Preferred length:**6 months Qualifications

Enrollment in a Master’s programme in a quantitative field such as computer science, mathematics, physics, engineering, or a related discipline, with a strong focus on software developmentStrong programming skills in Python or a comparable languageFirst experience in professional software development or implementation of risk and valuation models is beneficialA highly structured and solution-oriented work approachA proactive team player with strong integrity and the ability to communicate complex topics clearlyFluency in English, both written and spoken

At Statkraft, you’ll shape a career that is truly forward-facing with many amazing opportunities and offerings to match. This includes (non-exclusive):

Unlimited learning opportunities at various levels of the organisationThe chance to grow your career alongside a truly global network of experts, leaders, specialists and graduates from different countries and backgrounds.The opportunity to work somewhere with pride, and to be able to honestly say “My work is contributing to saving the planet”.A work culture that puts emphasis on the individual, offering flexible working solutions, and work life balance principles.

Our vision is to renew the way the world is powered. To navigate the complex journey ahead, we need every voice at the table. We therefore work actively to be a diverse and inclusive workplace and welcome all applicants regardless of background, gender, age, sexual orientation, religious belief, ethnicity, nationality or disability.

Statkraft offers competitive terms of employment and benefits schemes, and we’re a trusted employer that puts the safety of our people first. We believe that a safe and healthy working environment is a matter of choice, not chance.

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