Student employee for Short-Term Automated Trading
Are you a skilled python programmer with knowledge about machine learning techniques? And are you motivated by the dynamic nature of the financial markets? Then, this is your chance to excel.
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Joining us will allow you to hone your Python programming and machine learning skills while significantly impacting our business. You’ll have the unique opportunity to develop innovative models and build powerful tools that drive our success in the dynamic financial markets.
Here’s what the job entails
In this role as junior quantitative analyst, you will be part of a team that develop and maintain our algorithmic trading strategies. Your analytical background will be used to analyse problems and develop solutions.
More specifically, your responsibilities include:
assisting in developing and backtesting algorithmic trading strategies using machine learning and analytical models
supporting the maintenance and enhancement of existing strategies and projects using Python programming
analysing data to identify trading opportunities
solving ad-hoc tasks related to trading or existing projects
Meet your team
You will join a team that specialises in developing and implementing algorithmic trading strategies for the electricity market. Our focus is on leveraging technology and data analysis to optimise trading performance.
We are a team of passionate individuals with different backgrounds, all dedicated to pushing the boundaries of algorithmic trading. Common for all is that we value collaboration, innovation and continuous learning. We encourage open communication and idea sharing amongst team members.
But enough about us… over to you!
As you will be working in a dynamic market environment, we imagine that you are able to keep an analytic outlook and think critically. We also expect that you have great communication skills and can manage internal and external stakeholders alike.
We also imagine that you:
are currently enrolled in an education within Data Science, Computer Science, Mathematics, Physics, Economics or a related field
are proficient in Python – and eager to enhance your skills
have experience with machine learning techniques and frameworks
are interested in financial markets and trading principles
have solid problem-solving skills and attention to detail.
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 to fit with your studies
Unlimited paid child’s sick days because family comes first
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
New HQ in the heart of Aarhus with stunning views, inspiring architecture and close to public transport
…. and much more
- Department
- Short-Term Trading & Asset Management
- Locations
- Aarhus, Denmark
- Remote status
- Hybrid
- Sub department
- Short-Term Trading Intelligence
- Application deadline
- 29 May, 2026
About Danske Commodities
With fierce execution speed, innovative thinking and a tech-driven mindset, we unlock the potential of energy. Together with energy major Equinor, we have the vision and strength to accelerate the energy transition.