Quantitative analyst for the Quantitative Weather Analysis team

Danske Commodities; Aarhus; On-site; DKK 700,000 - 1,000,000; Full time

Benefits offered by this job

DC University courses

Harvard Learning access

Flexible work life

Up to 2 work from home days/week

HQ in Aarhus

Job summary

Danske Commodities is seeking a quantitative weather analyst to drive AI- and data-driven weather modelling within a power trading context. You will translate weather signals into actionable market insights and support trading decisions.

You will work at the intersection of weather data modelling and fundamental forecasting, collaborating with stakeholders across the organisation to advance research-to-action initiatives.

Qualifications

• Educational background in quantitative fields.
• Proficient in production-quality Python code.
• Experience with Linux-based environments and command-line tools.
• Ability to translate weather data into actionable insights for trading.
• Familiarity with large datasets and data-driven modelling.

Responsibilities

• Conducting research in AI- and data-driven weather modelling within a power trading context.
• Developing and improving fundamental forecasting solutions translating weather signals into market insights.
• Performing ad hoc weather and market analyses to support trading and decision-making.
• Exploring new data sources and modelling approaches to strengthen weather capabilities.
• Turning research into robust, scalable solutions used by traders and algorithms.

Skills

Python

Data science

Statistics

Machine learning

Power trading

Linux

Git

Education

Quantitative degree

Tools

Linux

Bash

Git

Jupyter

Job description

Quote

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

We're an energy trading and optimisation company that works at the intersection of technology and energy economics. Our disciplined and scalable trading strategies are designed to be competitive in volatile markets and create value for our partners.