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Viscommodities is looking for a Student Power Trader to join the intraday trading team in Aarhus, Denmark. As a Student Power Trader, you will gain real desk experience and take on responsibilities for live market coverage mainly during evenings and weekends.
The role is ideal for students studying Economics, Finance, or related fields, offering mentorship from experienced traders and a flexible student schedule of 15-20 hours per week.
Kickstart your power trading career while studying — and get real responsibility close to a live trading desk.
We are looking for a Student Power Trader to join our intraday trading team, primarily helping cover weeknights and weekends.
As a Student Power Trader, you will become an active part of the trading desk and gradually take on responsibility for live market coverage during evenings and weekends.
You will work closely with experienced traders, learn how short-term power markets move, and help identify the data, events and signals that explain price changes.
Learn from the desk
Shadow experienced traders, learn our decision-making frameworks, and build hands‑on understanding of intraday and short-term power trading.
After training, help manage live market coverage during evening and weekend hours while staying aligned with the team’s risk framework.
Explore power markets
Learn how weather, production, consumption, interconnector flows, liquidity and market events affect European power prices.
Think analytically
Investigate market moves, formulate hypotheses, and use data to understand why prices behave the way they do.
Work with tools & data
Suggest, test or prototype tools that help capture observations, validate ideas and support trading decisions.
Learn how we manage positions, monitor exposure, evaluate P&L drivers, and make decisions under uncertainty.
You do not need to know power trading already. You should be motivated by markets, data and fast‑moving decision‑making.
It is a plus, but not a requirement, if you have experience with Python, data analysis, statistics, machine learning, energy markets, Excel, SQL or dashboarding tools.
Location
Navitas, Aarhus
Hours
Approx. 15–20 hours per week
Shifts
Mainly evenings and weekends
Ideal for
Students interested in markets, data, trading and decision‑making under uncertainty