Quantitative analyst for Automated Trading of the short-term US power market

Quote You will combine quantitative research, machine learning, and software engineering to uncover market inefficiencies and turn them into profitable trading strategies. Here’s what the job entails IIn the role, you will tackle challenging quantitative problems and develop fully automated, machine learning-driven trading strategies for the US short-term power market that 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 our US 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 Meet your team 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. But enough about us… over to you! 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. 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 adjustable hours, part-time options & up to 2 work from home days/week Fuel Fridays one paid Friday off every month (July and December excluded) Top-tier parental leave up to 26 weeks paid, pension during leave & post-leave support Unlimited paid child's sick days because family comes first Extra time off 5 additional days on top of your 5 weeks Senior days extra time off if you’re 55+ Attractive package 10% pension, health insurance, bonus scheme & more Share savings the option to join Equinor’s attractive share programme Home setup covered paid internet, phone & IT gear 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 HQ in the heart of Aarhus with stunning views, inspiring architecture and close to public transport …. and much more