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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, you will be part of a team that develops and maintain our algorithmic trading strategies. Your analytical background will be used to analyse problems and develop solutions. Your key responsibilities will 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 specializes 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 encompass strong 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 or a related field

• are proficient in Python

• have experience with machine learning techniques and frameworks

• are interested in financial markets and trading principles

• have strong 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:

Flexible working hours to fit with your studies

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

Global career prospects as part of the Equinor group with +20,000 colleagues across the world

Unlimited paid children’s sick days no limit on paid absence days in relation to child sickness

Compensation for working night and weekend shifts

100+ yearly social and professional events including DC Sports and DC Talks events, gatherings in our book club, bicycle club, student network, wine club, CS:GO team and more

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