Qu­an­ti­ta­ti­ve Analyst for Automated Trading


Would you like a job where your ideas and work are an essential part of the digitalisation journey in one of Europe’s leading energy trading companies? And can you see yourself in a position where you get to work with machine learning and automated trading, alongside a group of skilled colleagues? Then we might have a job for you, as we are currently looking for a Quantitative Analyst to join our ambitious Automated Trading team.   

Join a team of innovators and early adopters

In Automated Trading, we support our business teams in developing, implementing, and monitoring algo strategies. We are driven by our common goal of making better and faster trading decisions, always pushing our strategies and analyses into new territory. Daily, we work with fundamentals such as weather and pricing data that affect the market we trade-in - and in order to be one step ahead, we always need to be aware of new developments within machine learning.
We are a team of talented specialists ranging from economists, meteorologists, physicists, and machine learning specialists. Besides working alongside a skilled team with many different backgrounds, you will also get to work closely with traders, software developers, and business intelligence consultants.

Avid programmer with an analytical and structured approach

We imagine that you have a relevant Master’s or Ph.D. degree within Data Science, Engineering, Physics, or similar. In other words, a background that has given you strong capabilities in working with data and data analysis - and made you capable of presenting your findings to others. You approach your work in a structured manner, always looking for ways to optimise and improve things, and you can see yourself working in the intersection between data handling, machine learning, and trading.

Become an expert and make a difference

No matter what your experience level is, we will make sure you get a thorough introduction to the team, your tasks, the power markets, and how we work. Your first assignment will be to dive into our wide range of data and be familiar with our coding principles and algorithmic framework. After that, you will take part in supporting a new or current algo strategy. In the long term, you will be responsible for your own area within our algo development - ranging from working with weather data, a specific geographical area to specific products. Using machine learning and tools supporting automated trading will be the main part of your workday, and through that, you will make a direct difference to our business.

"You'll have the opportunity to push our trading strategies to the next level and help future-proof the Energy Trading Industry", Thor Ulrik Karlstrup, Director, Head Of Automated trading.

We Offer

  • professional and skilled colleagues, who set the bar high
  • great opportunities for individual development
  • flexible working hours
  • numerous social and professional events incl. sporting events and parties
  • an office in the heart of Aarhus, next to the central train station


  • develop, implement and improve automated trading strategies
  • analyse weather, pricing and fundamental power market data
  • participate in building our algorithmic trading framework
  • actively take part in knowledge sharing and sparring across teams
  • work closely with Software Development and Business Intelligence teams


We expect that you:

  • have a relevant master’s or Ph.D. degree within Data Science, Computer Science, Engineering, Physics or similar
  • are an avid programmer with strong capabilities within data handling and real-time event processing
  • have experience working with machine learning
  • are experienced in Python or similar programming language
  • preferably, have +3 years of relevant experience from a similar position, however not a requirement
  • have a good command of English both written and verbal

Personal Skills

We expect that you:

  • are logically thinking and mathematically well-grounded – important traits when working with machine learning, strategy development, and market understanding
  • are not afraid to take responsibility - you will eventually be responsible for your own strategies
  • see opportunities where others see problems - you need to approach problems proactively since we are working with data in uncertain markets
  • can work analytically and in a structured manner - the products we deliver should be based on thorough, analytical work

Job Start & Type

  • As soon as possible. We will be screening candidates on an ongoing basis.
  • Full-time

Apply for this job

Please have the following documents ready. It only takes 5 minutes to complete the form.

  • Application
  • CV
  • Exam papers
  • References
  • Picture

Get in touch

Thor KalstrupDirector, Head of Automated Trading
T: +45 8833 8061
E: tka@danskecommodities.com

Application deadline: 13/06.

Gem job

Danske Commodities A/S
Publiceret: 13. maj 2020


Location Aarhus