Experienced quantitative analyst
Do you have strong Python skills, a solid understanding of machine learning in trading, and are you motivated by the fast-paced financial markets? Then this just might be the role for you!
Here’s what the job entails
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
Meet the team
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 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.
“You will use your expertise to drive development of innovative trading models and you will be making a direct impact on our strategic decisions and performance”
But enough about us… over to you!
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 teamwork
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
- are experienced in working with real-world data and solving analytical problems
- can work analytically and with a strategic mindset
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:
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
100+ yearly professional and social events including DC Talks and DC Sports events, gatherings in our book club, bicycle club, student network, wine club, CS:GO team and more
Global career prospects as part of the Equinor group with +20,000 colleagues across the world
Flexible working hours including the opportunity to work part-time as well as the option to work from home up to two days per week
Fuel Fridays a monthly Friday off with pay, except for July and December, to fuel your energy
Great parental leave conditions including 26 weeks of paid maternity leave, 16 weeks of paid paternity/co-parent leave, paid pension while on leave and the opportunity to join ‘Inspired Beyond Babies’
Unlimited paid children’s sick days no limit on paid absence days in relation to child sickness
Extra days off five to be exact, every year – adding to the standard five weeks off each year
Senior days if you’re over 55 years old
10% paid pension as well as a beneficial health care and insurance package
Compensation for working night and weekend shifts
Bonus scheme
Share savings meaning you have the opportunity to participate in our parent company Equinor’s attractive share savings programme
Paid at home internet and equipment including a mobile phone with paid subscription and IT equipment for when working from home
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
Recruitment process and relocation
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.
What we’re about
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.
In summer 2025, we'll be moving to our brand-new headquarters in Aarhus. Our future home, Akson, will be located in Sydhavnskvarteret – a vibrant district where business meets culture. On top of being in this urban oasis, we’ll enjoy state-of-the-art facilities – including our own barista coffee shop, modern fitness facilities and breathtaking views that will make every day at the office even sweeter. We can't wait.
Does the job not fit your profile?
Luckily, we often have lots of other interesting positions available that might prove to be a better match.
