Experienced quantitative analyst
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Århus
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 development and backtesting of trading strategies using Python and machine learning frameworksmaintenance and improvement of existing models and tools to ensure performance and reliabilityanalysis of large datasets to identify trading opportunities and patternsownership of specific projects or components, and driving the process from design to implementationsupporting the team with ad-hoc tasks and contribute to ongoing research and developmentOur 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.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 teamworkWe 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 have an advanced degree in data science, computer science, mathematics, physics, or a related fieldare at an expert-level proficiency in Python and have experience with production-level codehave extensive experience with machine learning techniques and frameworksare experienced in working with real-world data and solving analytical problemscan work analytically and with a strategic mindsetPlease 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.hereWe'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 . 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.Luckily, we often have lots of other interesting positions available that might prove to be a better match.
Information og data
Denne ledige stilling har jobtypen "Data Manager", og befinder sig i kategorien "Informationsteknologi".
Arbejdsstedet er beliggende i Århus
Jobbet er oprettet på vores service den 8.10.2025, men kan have været deaktiveret og genaktiveret igen.
Dagligt opdateret: Dette job opdateres dagligt ud fra jobudbyderens hjemmeside via vores søgemaskineteknologi og er aktivt lige nu.
- 08.10.2025
- Data Manager
- Århus
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