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Quantitative analyst

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Do you have programming experience? Are you skilled within mathematics and statistics? And are you curious about the energy markets. If so, our Intraday Analysis team might be the perfect match for you!

The job

Here’s what the job entails

In the role, your primary function will be to support the development and optimisation of strategies and machine learning models for the Flexible Asset Management team. As such, you will gain valuable experience with the trading and optimisation of flexible assets.

Concretely, your areas of responsibility will include the following:

  • build and maintain quantitative models
  • understand the energy markets and the drivers behind it, e.g. regulations, market developments, RES outbuild and data screening
  • test hypotheses and build trading strategies for the Flexible Asset Management team
  • take part of the continuous development of the intraday infrastructure
  • perform ad hoc analysis tasks
The team

Meet the team

As our new quantitative analyst, you will join our Intraday Analysis team in which we support our intraday trading teams with optimising their operations by developing complex trading strategies and quantitative models. We are a team of seven specialists within short-term power trading who hold backgrounds within economics, mathematics and engineering.

We are a motivated team of energy experts who take an analytical approach and have a curious mindset. You will join a dedicated team that always seeks to improve our strategies and processes to become even better at what we do.

You will get the opportunity to join a dedicated analysis team within short-term power trading and get first-hand experience with the energy transformation from renewables to flexible assets such as batteries and CHPs. As such, you will get a job that allows you to make a true difference!
Your qualifications

But enough about us… over to you!

As you will be working with a lot of different data, we imagine that you take a curious approach to data analysis – it is key that you are motivated to understand the data and how we can utilise it. Also, as we operate in an ever-changing market, we are looking for someone who thrives in a dynamic environment and has the ability to adapt their actions and way of thinking to market conditions.

Furthermore, we expect that you:

  • have a relevant educational background within Mathematics, Engineering, Physics, Economics, Finance or similar
  • have programming experience, e.g. with SQL, R or Python
  • are curious about the energy markets – and have a deep interest in building and optimising machine learning models
  • 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 offer

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
The process

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.

About us

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.

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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.

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