Student employee for Intraday Analysis
Curious about fast-moving power markets and quantitative trading? Use Python, data and quantitative methods to turn market behavior into insights and tools that support real trading decisions.
Here’s what the job entails
In the role as Junior Quantitative Analyst, you will support the Intraday Analysis team by analysing market behavior, testing quantitative trading ideas, and turning complex data into actionable insights. You will also develop Python-based models and tools that support trading decisions and automated strategies.
More specifically, your responsibilities include:
analysing market and trading data to identify patterns, explain market movements and uncover potential trading opportunities
developing and backtesting quantitative models and trading ideas, including approaches based on statistics and machine learning
building and improving Python tools, dashboards and reports that make data and model results accessible to analysts and traders
monitoring and maintaining existing analyses and models, investigating unexpected results and helping improve their reliability
contributing to ad-hoc analyses and development tasks in close collaboration with analysts, traders and other quantitative teams
Meet the team
You will join our Intraday Analysis team, where we develop quantitative analyses, forecasts and decision-support tools for European intraday power trading. We use market data, statistics, machine learning and domain knowledge to understand price formation and trading opportunities. We work closely with traders and other quantitative teams to turn analysis into practical decisions and automated trading solutions, and we continuously improve our models and tools as market conditions, data and business needs change.
We are a collaborative team with backgrounds across quantitative modelling, software development, energy markets and trading. We like to share ideas openly, challenge assumptions constructively and learn from both successful and unsuccessful experiments. We value curiosity, practical problem-solving and solutions that create measurable value for the trading business. As a student employee, you will be trusted with meaningful tasks and are encouraged to contribute actively, while receiving support and feedback from experienced colleagues.
You’ll work on solutions that contribute to our trading decisions while learning from experienced analysts and traders and developing your programming and analytical skills along the way.
But enough about us… over to you!
As you will be working with quantitative analysis in a complex area, we imagine that you are analytically curious and enjoy exploring problems from different perspectives. We also picture you as someone who takes ownership of your work and values both structured problem-solving and collaboration.
We also imagine that you:
are currently enrolled in a relevant higher education programme, for example data science, computer science, mathematics, physics, economics or engineering
have programming experience in Python through your studies, projects or previous work and are motivated to strengthen your skills
understand fundamental statistical or quantitative methods and can apply them to data
are interested in financial markets, trading, machine learning or optimisation
are proficient in English – both written and spoken
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:
Shape your development tailored growth plans, 100+ DC University courses & Harvard Learning access
100+ yearly events from office parties to DC Sports events, CS:GO team, student network & more
Global career paths as part of our parent company, Equinor’s 20,000-strong international network
Flexible work lifeto fit with your studies
Unlimited paid child’s sick daysbecause family comes first
Free tickets & discountsculture, family fun, hotels, restaurants & more
Organic meals light breakfast, lunch, snacks, dinner & take-away
Barista caféhigh-quality coffee, always on us
On-site wellnessstate-of-the-art gym, physio, chiro and massage therapy
HQ in the heart of Aarhuswith stunning views, inspiring architecture and close to public transport
…. 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
At Danske Commodities, we trade energy across 40+ markets and deliver solutions for energy producers and large-scale consumers.
Our people work together to find value in everything we do and deliver it. For our partners. And for the energy system as a whole. Together with our parent company Equinor, we operate on a scale few trading houses can match.
Our organisation is flat with an open-door policy. We expect you to care. About your work. About your colleagues. And about the difference we make.
Aspiring chefs, beekeepers, runners, parents, gamers – we’re proud of our diversity of ideas. What binds us together is that we all find average genuinely uncomfortable and want to do something about it.
We’re big on trust and providing the freedom for you to thrive. Together, we’ll make sure you’ll be the best version of you. Because happy employees perform better and we’re in this for the long run. No matter the stage in life you’re in, we’ve got you.
Join us. You'll love Mondays.
A workplace like no other
In 2025, we moved into our new headquarters in the heart of Aarhus – a workplace built for the precision, focus and collaboration that define how we work. With state-of-the-art facilities, our own barista café, a modern fitness centre and views worth coming in for.
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.
