Do you have strong Python skills, a solid understanding of machine learning in trading, and are you motivated by the fast-paced financial markets? Then this just might be the role for you!

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You will use your expertise to drive development of innovative trading models and you will be making a direct impact on our strategic decisions and performance.

Here’s what the job entails

In the role, you will contribute to the development and refinement of algorithmic trading strategies and apply your analytical and programming skills to solve complex problems using real-world data.

Your key responsibilities include:

• development and backtesting of trading strategies using Python and machine learning frameworks
• maintenance and improvement of existing models and tools to ensure performance and reliability
• analysis of large datasets to identify trading opportunities and patterns
• ownership of specific projects or components, and driving the process from design to implementation
• supporting the team with ad-hoc tasks and contribute to ongoing research and development

Meet your team

Our team specialises in developing and implementing algorithmic trading strategies for the electricity market. We focus on leveraging technology and data analysis to optimise trading performance.

We are a team of passionate individuals with varying backgrounds, we are dedicated to pushing the boundaries of algorithmic trading. Our culture values collaboration, innovation, and continuous learning. We encourage open communication and idea-sharing among team members.

But enough about us… over to you!

As you will be working with quantitative analysis, we imagine that you have a strong analytical approach combined with a proactive mindset. In addition, we imagine you being a clear and efficient communicator who understands the importance of knowledge sharing and teamwork.

We also imagine that you:

• have an advanced degree in data science, computer science, mathematics, physics, or a related field
• are at an expert-level proficiency in Python and have experience with production-level code
• have extensive experience with machine learning techniques and frameworks
• are experienced in working with real-world data and solving analytical problems
• can work analytically and with a strategic 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:

• Vast development opportunities with the help of your own individual development plan, access to our DC University with 50+ courses as well as remote courses through Harvard Learning
• 100+ yearly professional and social events including DC Talks and DC Sports events, gatherings in our book club, bicycle club, student network, wine club, CS:GO team and more
• Global career prospects as part of the Equinor group with +20,000 colleagues across the world
• Flexible working hours including the opportunity to work part-time as well as the option to work from home up to two days per week
• Fuel Fridays a monthly Friday off with pay, except for July and December, to fuel your energy
• Great parental leave conditions including 26 weeks of paid maternity leave, 16 weeks of paid paternity/co-parent leave, paid pension while on leave and the opportunity to join ‘Inspired Beyond Babies’
• Unlimited paid children’s sick days no limit on paid absence days in relation to child sickness
• Extra days off five to be exact, every year – adding to the standard five weeks off each year
• Senior days if you’re over 55 years old
• 10% paid pension as well as a beneficial health care and insurance package
• Compensation for working night and weekend shifts
• Bonus scheme
• Share savings meaning you have the opportunity to participate in our parent company Equinor’s attractive share savings programme
• Paid at home internet and equipment including a mobile phone with paid subscription and IT equipment for when working from home
• Various free tickets to family-friendly and cultural attractions Discounts at hotels, restaurants, sports clubs and more
• Organic food including a light breakfast, lunch buffet and snacks throughout the day
• An office in the heart of Aarhus right next to the central train station

…. and much more

Department: European Power Trading

Locations: Aarhus, Denmark

Remote status: Hybrid

Employment type: Full-time

Sub department: Short Term Automated Trading

Application deadline: 24 July, 2025