Would you like a job with a direct impact on the energy transition? And does working with machine learning to support the optimisation of flexible assets sound like fun to you? Then you might be the new quantitative analyst to join our Automated Trading team.

Here’s what the job entails

In the role, your primary function will be to build and improve flexible asset optimisation models. Further, your areas of responsibility will include the following:

• develop strategies for optimal execution of flexible assets
• analyse market conditions and develop new trading and optimization strategies
• monitor our flexible assets and their performance
• ensure that our flexible asset operations comply with market rules
• communicate complex material to various internal stakeholders

Meet the team

As our new quantitative analyst you will join our Automated Trading team in which we support the business teams with developing, implementing and monitoring algo trading and flexible assets strategies and models. Further, we support the development and continuous performance improvement of our algo trading and flexible assets.

Your area of responsibility will be within our flexible asset setup (such as large-scale demand response and combined heat and power plants), meaning you will contribute directly to our renewables business and the energy transition. We are a diverse team of skilled specialists, ranging from economists, meteorologists, physicists and machine learning specialists. In the team, we always support each other – and we make sure to have fun as we go along.

"You will have the opportunity to improve and develop models to optimise our flexible asset business in the European power markets – and have a direct impact on our energy transition journey!" - Thor Kalstrup, Head of Automated Trading.

But enough about us… over to you!

As you will be working with machine learning, strategy development and market understanding, we are looking for someone who is mathematically well-grounded. Also, as you will eventually be responsible for your own strategies, we imagine that you are not afraid of taking responsibility.

Furthermore, we expect that you:

• have a relevant educational background within Data Science, Computer Science, Engineering, Physics or similar (or is about to graduate this summer)
• are proficient in Python – able to run, modify and build analytical tools as well as manipulate, analyse and visualise data
• are proficient in English, both written and verbal

Please note that it is not a requirement to have prior knowledge of the energy industry to enter 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:

• Flexible working hours
  including the option to work from home up to two days per week
• 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
• Global career prospects
  as part of the Equinor group with +20,000 colleagues across the world
• 10% paid pension
  as well as a beneficial health care and insurance package
• Great parental leave conditions
  including 26 weeks of paid maternity leave and 16 weeks of paid paternity leave as well as the opportunity to join the network Inspired Beyond Babies
• Paid children’s sick days
  10 annual paid absence days in relation to child sickness, to be used whenever needed
• Extra days off
  five, to be exact, as well as a Yay Day (an additional day off dedicated to ‘me time’) every year – adding to the standard five weeks off each year
• Senior days
  if you’re over 55 years old
• 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
• 100+ yearly social and professional events
  including DC Sports and DC Talks events, gatherings in our book club, bicycle club, student network, wine club, CS:GO team and more
• Free Spotify Premium subscription
• 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

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 +450 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.

Deadline

14.04.2023. We will be screening candidates on an ongoing basis.

Get in touch

Thor Kalstrup
Head of Automated Trading
+45 3132 2417
tka@danskecommodities.com
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