Experienced quantitative analyst

In this 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:

• designing, developing, and backtesting machine‑learning driven trading strategies using Python and ML/DL frameworks.

• maintaining and improving existing models and tools to ensure performance and reliability

• analyzing large and high-dimensional datasets to identify patterns, signals, and trading opportunities

• owning and driving projects end-to-end

• contributing to ongoing research and innovation, sharing insights from the latest academic and industry developments within ML, DL, and quantitative trading.

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 diverse quantitative backgrounds, 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.

Because you’ll be working deeply with quantitative modelling and machine learning, we imagine you bring a strong analytical mindset, intellectual curiosity, and a proactive approach to problem-solving. You communicate clearly, enjoy working in cross-functional teams, and understand the value of knowledge sharing

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 (e.g. PyTorch, Scikit-learn)

• keep up with latest innovation in ML/DL

We are looking for a candidate who is passionate about doing great work, and who has extensive knowledge within the ML/DL space. So if you consider yourself a fit, but can't see yourself in the bullets above, we are more than happy to receive your application anyways.

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

You can read more about our recruitment process here. Please note that if you are an international candidate, we will reimburse travel expenses in connection with potential interviews and support you with the relocation process.

We're a tech-driven energy trading company present in +40 markets across five continents. Our +600 people are driven by a need to constantly better things. If you are too, we could very well be the right place for you. You'll join a collective of thinkers and doers. Aspiring chefs, runners, parents, beekeepers, gamers – the list goes on. We're highly specialised experts within our fields. But it’s actually our diversity of ideas we’re most proud of, which is why we continuously work on strengthening an inclusive culture where diverse teams thrive.

Our organisation is flat with an open-door policy. We expect you to care. About your work. About your own and your colleagues’ collective successes. And about the difference we make at Danske Commodities. Together with our parent company Equinor, we have the vision and strength to accelerate the energy transition and make an impact. Like no other.

We've recently moved to our brand-new headquarters in Aarhus, Akson, located in Sydhavnskvarteret – a vibrant district where business meets culture. In this urban oasis, we enjoy state-of-the-art facilities – including our own barista coffee shop, modern fitness facilities and breathtaking views that make every day at the office even sweeter.