Student employee for Intraday Analysis

Danske Commodities

Aarhus

Hybrid

DKK 300.000 - 450.000

Teilzeit

Vor 2 Tagen
Sei unter den ersten Bewerbenden

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

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Benefits dieser Stelle

Shape your development tailored growth
100+ DC University courses & Harvard学习
100+ yearly events
Global career paths via Equinor
Flexible work life to fit your studies
Free tickets & discounts
Organic meals
On-site wellness
HQ in the heart of Aarhus

Zusammenfassung

Danske Commodities in Aarhus is seeking a student employee to join the Intraday Analysis team. You will analyse market and trading data, develop and backtest quantitative models, and build Python tools and dashboards to support traders.

You will work with analysts and traders, apply basic statistics and ML methods, and learn how to turn data into actionable insights while developing your programming and analytical skills in a collaborative environment.

Qualifikationen

  • Currently enrolled in a relevant higher education programme (e.g. data science, computer science, mathematics, physics, economics or engineering)
  • Programming experience in Python through studies, projects or previous work
  • Understand fundamental statistical or quantitative methods and apply them to data
  • Interested in financial markets, trading, machine learning or optimisation
  • Proficient in English – both written and spoken

Aufgaben

  • 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

Kenntnisse

Python
Data analysis
Statistics
Machine learning
Trading

Ausbildung

Higher education program in data science / CS / math / physics / economics / engineering

Tools

Pandas
Backtesting

Jobbeschreibung

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.

The job

Here’s what the job entails
  • 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 theway.

Head of Intraday Analysis

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
  • Free tickets & discountsculture, family fun, hotels, restaurants & more
  • Organic meals light breakfast, lunch, snacks, dinner & take-away
  • 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 valuein everything we doand deliver it. For our partners.And for the energy system as a whole.Together with our parent company Equinor, weoperateon ascalefew trading houses can match.

Ourorganisationis 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’reproud of our diversity of ideas. What binds us together is that we allfind average genuinely uncomfortable and want to do something about it.

We’rebig on trust and providing the freedom for you to thrive. Together,we’llmake sureyou’llbe the best version of you. Because happy employees perform better andwe’rein this for the long run. No matter the stage in lifeyou’rein,we’vegot you.

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. Withstate-of-the-artfacilities, our own barista café, a modern fitnesscentreand views worth coming in for.

Other vacancies

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.

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