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By combining multidimensional weather data, machine learning and market understanding, you’ll help shape trading decisions and optimise the balancing of our renewable asset portfolio.

Here’s what the job entails

In the role, you will work at the intersection of weather data modelling and fundamental forecasting, driving research and innovation within quantitative weather analysis.

More specifically, your responsibilities include:

• conducting research in AI- and data-driven weather modelling within a power trading context

• developing and improving fundamental forecasting solutions that translate weather signals into actionable power market insights

• performing ad hoc weather and market analyses to support trading, renewable asset balancing and commercial decision-making

• exploring new data sources, modelling approaches and analytical methods to strengthen our quantitative weather capabilities

• turning research and analysis into robust, scalable solutions that can be used directly by traders and algorithms

Meet your team

You will join our Quantitative Weather Analysis team, where we develop weather-driven insights, forecasts and models that support trading decisions and renewable asset optimisation across our business.

We are a team of specialists with backgrounds in data science, physics and computational biophysics. We take our work seriously, but not ourselves, and aim to create an informal atmosphere and a team where people genuinely enjoy working together. We also value spending time with each other beyond the task at hand, whether that is grabbing a coffee, having lunch or simply catching up during the day. Together, we have built a culture where we help each other, share knowledge freely and feel comfortable asking questions or challenging ideas.

But enough about us… over to you!

As you will be working deeply with quantitative modelling and large datasets, we imagine that you take a curious and proactive approach to your tasks. You enjoy digging into how things work with a research-to-action mindset and challenge existing approaches when you see room for improvement. We also expect that you are comfortable taking ownership of projects while collaborating with stakeholders across the organisation.

Furthermore, we imagine that you:

• have an educational background in Economics, Physics, Computer Science, Mathematics, Data Science or a related quantitative field

• are experienced in writing production-quality, maintainable code in Python

• are comfortable working in Linux-based environments and using common command-line tools

• have a solid quantitative foundation and can work with statistical, mathematical or data-driven modelling

• can work with large, complex datasets and transform data-driven insights into practical solutions

• are curious about the power trading domain and has an execution and collaborative mindset

Please note that prior knowledge of the energy sector is not required for this role.

We’ll take good care of you

At Danske Commodities, we take great care of our people. Joining us means you’ll get a lot of great perks – including social events, cultural experiences, tasty food and benefits to better your health, your life and your future.

Here are some of the benefits we offer our employees:

Shape your development tailored growth plans, 100+ DC University courses & Harvard Learning access

100+ yearly events from office parties to DC Sports events, CS:GO team, student network & more

Global career paths as part of our parent company, Equinor’s 20,000-strong international network

Flexible work life adjustable hours, part-time options & up to 2 work from home days/week

Fuel Fridays one paid Friday off every month (July and December excluded)

Top-tier parental leave up to 26 weeks paid, pension during leave & post-leave support

Unlimited paid child's sick days because family comes first

Extra time off 5 additional days on top of your 5 weeks

Senior days extra time off if you’re 55+

Attractive package 10% pension, health insurance, bonus scheme & more

Share savings the option to join Equinor’s attractive share programme

Home setup covered paid internet, phone & IT gear

Free tickets & discounts culture, family fun, hotels, restaurants & more

Organic meals light breakfast, lunch, snacks, dinner & take-away

Barista café high-quality coffee, always on us

On-site wellness state-of-the-art gym, physio, chiro and massage therapy

HQ in the heart of Aarhus with stunning views, inspiring architecture and close to public transport

…. and much more