Quantitative analyst for Short-term Automated Trading

In the role, you will tackle challenging quantitative problems and develop fully automated, machine learning-driven trading strategies that operate 24/7 and have a direct impact on trading performance.

Your key responsibilities include:

• designing, developing, and deploying machine learning-driven trading strategies using Python and modern machine learning/deep learning frameworks

• transforming large-scale and high-dimensional datasets into actionable trading signals and predictive models

• continuously improving existing models, infrastructure, and research processes to maintain a competitive edge

• collaborating closely with traders and analysts to translate market insights into scalable quantitative solutions

• staying at the forefront of developments in machine learning, deep learning, and quantitative finance, and taking full ownership of bringing new ideas into production

You will join our Short-term Automated Trading team, where we develop and operate algorithmic trading strategies in the European electricity markets by applying advanced quantitative methods, machine learning, and automation to make better trading decisions.

We are a team of highly motivated specialists with backgrounds in quantitative finance, mathematics, physics, computer science, and machine learning. We challenge each other's thinking, move quickly from idea to implementation, and share an ambition to build better models and make better trading decisions. We value intellectual curiosity, honest feedback, and rigorous thinking.

You’ll work deeply with quantitative modelling and machine learning in a fast-moving domain, so you enjoy tackling complex quantitative challenges and turning ideas into measurable outcomes. You are driven by ownership, excellence, and the opportunity to collaborate with highly skilled colleagues.

We also imagine that you:

• hold an MSc or PhD in data science, computer science, mathematics, physics, or a related field

• are an advanced Python developer with experience building robust, production-quality code

• have extensive experience with machine learning techniques and frameworks (e.g. PyTorch, Scikit-learn)

• keep up with the latest innovation in machine learning and deep learning, and enjoy turning cutting-edge research into practical solutions that deliver measurable value

Please note that prior knowledge of the energy sector is not required for this role. We welcome various levels of experience from a highly analytical environment and will tailor the role to your profile.

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.

At Danske Commodities, we trade energy across 40+ markets and deliver solutions for energy producers and large-scale consumers.

Our people work together to find value in everything we do and deliver it. For our partners. And for the energy system as a whole. Together with our parent company Equinor, we operate on a scale few trading houses can match.

Our organisation is flat with an open-door policy. We expect you to care. About your work. About your colleagues. And about the difference we make.

Aspiring chefs, beekeepers, runners, parents, gamers – we’re proud of our diversity of ideas. What binds us together is that we all find average genuinely uncomfortable and want to do something about it.

We’re big on trust and providing the freedom for you to thrive. Together, we’ll make sure you’ll be the best version of you. Because happy employees perform better and we’re in this for the long run. No matter the stage in life you’re in, we’ve got you.

Join us. You'll love Mondays.