Student employee for Intraday Analysis

Danske Commodities; Denmark; On-site; DKK 320,000 - 450,000; Full time

Benefits offered by this job

DC University courses

Harvard Learning access

Flexible work life

Child sick days

Tickets & discounts

Organic meals

Barista café

On-site wellness

HQ in Aarhus

Job summary

Danske Commodities is seeking a Junior Quantitative Analyst to support the Intraday Analysis team. You will analyse market behavior, backtest quantitative ideas and develop Python-based models and tools to support trading decisions and automated strategies.

You will collaborate with analysts and traders, turning complex data into actionable insights while building predictive tools and dashboards. A student in a relevant programme with Python experience is expected, with strong English skills and

Qualifications

• Enrolled in a relevant higher education programme (e.g., data science, CS, math/physics, economics or engineering).
• Experience with Python through studies, projects or previous work.
• Basic understanding of statistical or quantitative methods and their application to data.
• Interest in financial markets, trading, machine learning or optimisation.
• Proficiency in English – written and spoken.

Responsibilities

• Analyze market and trading data to identify patterns and opportunities.
• Develop and backtest quantitative models and trading ideas using statistics and ML.
• Build and improve Python tools, dashboards and reports for analysts and traders.
• Monitor and maintain existing analyses and models; investigate unexpected results.

Skills

Python programming

Data analysis

Machine Learning basics

Statistical methods

English proficiency

Education

Pursuing higher education in data science, computer science, math/physics, economics or engineering

Tools

Python

Job description

Quote

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.

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 your 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.

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