Student employee for automated trading team

Student employee for automated trading team
Location
Aarhus, Denmark

Jobtype & start time
Part-time, as soon as possible.

Deadline
08.01.2025. We will be screening candidates on an ongoing basis. We will be screening candidates
on an ongoing basis.

Are you skilled in Python with a motivation for developing machine learning models? And are you interested in the ever-evolving nature of financial markets? If so, you might be the new student employee for our Automated Trading team!

The job

Here’s what the job entails
In the role, you will support with developing and maintaining algorithmic trading strategies, using your analytical skills to analyse problems and develop solutions. Concretely, your areas of responsibility include:

• support with developing and back testing algorithmic trading strategies, using machine learning and analytical models
• maintaining existing strategies and projects, using python
• analyse data to identify trading opportunities

The team

Meet the team
As our new student employee, you will join our Automated Trading team which specialises in developing and implementing algorithmic trading strategies for the European intraday power markets. We focus on leveraging technology and data analysis to optimise trading performance.

We are a team of motivated individuals from varying backgrounds, dedicated to pushing the boundaries of algorithmic trading. Our culture values collaboration, innovation and continuous learning. And we encourage open communication and idea-sharing among team members.

In the job, you will build skills in Python and machine learning, while contributing to Danske Commodities’ business through development of models and tools

Peder Christian Friis Møller

Head of Long Term Automated Trading
Your qualifications

But enough about us… over to you!
As you will be carrying out analyses used for decision-making, we imagine that you apply a data-driven, critical and analytical approach to problem-solving. We are also looking for someone with a sense for details and structure as you will work with various cases that require thorough analysis.

Furthermore, we imagine that you:

• are currently enrolled in a relevant study, e.g. within data science, computer science, mathematics, physics, economics or engineering
• have proficiency in Python
• have an interest in machine learning techniques and frameworks
• are curious about the financial markets and trading principles

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
  to fit with your studies
• 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
• Beneficial health care and insurance package
• Bonus scheme
• 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
• 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

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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 42 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.