Student Quantitative Analyst for Nordic Power

InCommodities; Aarhus; On-site; DKK 200,880 - 312,480; Full time

Job summary

InCommodities in Aarhus seeks a Student Quantitative Analyst to join the Nordic Power Trading team, developing and improving the Nordic stack model that underpins trading strategies in the Nordic power market.

From day one you will own meaningful tasks, collaborate with analysts and traders, and turn complex data into actionable insights while learning energy markets and forecasting techniques.

Qualifications

• Currently pursuing Economics, Math‑Econ, Engineering, Data Science or Finance with ~2–3 years remaining.
• Strong Python programming skills and experience with data analysis and wrangling.
• Interest in model development, time-series analysis and forecasting techniques.
• Curiosity about energy markets and quantitative analysis.
• Fluent English, written and spoken.

Responsibilities

• Develop, maintain, and improve our in-house Nordic stack model.
• Analyze, validate, and transform input data to improve forecast quality and model performance.
• Test model robustness through sensitivity analysis, scenario testing, and evaluation of assumptions.
• Develop new approaches for handling forecast uncertainty and translating into trading insights.
• Identify biases in forecasts, input data, and model outputs, and propose improvements.
• Represent the Nordic perspective in the stack model setup.
• Collaborate with other stack model teams to align methodologies and improve quality.
• Challenge assumptions, methodologies, and results to build transparent solutions.

Skills

Python

Data wrangling

Time-series analysis

Forecasting

Quantitative analysis

English proficiency

Education

Economics / Math‑Econ / Engineering / Data Science / Finance (2–3 years left)

Tools

Python data analysis libraries

Job description

Application deadline: 5th of August - We’ll review applications on an ongoing basis, so don’t wait too long to send yours. Start date is no later than 1st October 2026

Help shape the models behind better trading decisions.

We're looking for a Student Quantitative Analyst to join our Nordic Power Trading team. You'll play a key role in developing and improving the fundamental stack model that supports our trading strategies in the Nordic power market.

This is an opportunity to apply your quantitative skills to real market challenges while working closely with experienced analysts and traders. From day one, you'll take ownership of meaningful tasks, challenge assumptions, and help turn complex data into actionable insights.

What you'll do

• Develop, maintain, and improve our in-house Nordic stack model
• Analyze, validate, and transform input data to improve forecast quality and model performance
• Test model robustness through sensitivity analysis, scenario testing, and systematic evaluation of assumptions
• Develop new approaches for handling forecast uncertainty and translating it into trading-relevant insights
• Identify and analyze biases in forecasts, input data, and model outputs, and propose improvements
• Represent the Nordic perspective in the development of InCommodities' overall stack model setup
• Collaborate with other stack model teams to align methodologies and continuously improve model quality
• Challenge assumptions, methodologies, and results to build transparent and trustworthy solutions

Your team

You’ll join our Nordic Power Trading team, where analysts and traders work closely together to understand market fundamentals and create a competitive edge. We combine deep market expertise with curiosity, collaboration, and a strong drive to keep improving. You’ll be part of an environment where ideas are discussed openly, responsibility comes early, and learning happens every day.

What you bring

• You're currently studying Economics, Math‑Econ, Engineering, Data Science, Finance, or a similar quantitative degree, with approximately 2–3 years left of your studies
• Strong Python programming skills and experience working with data analysis and data wrangling
• An interest in model development, time‑series analysis, and forecasting techniques
• Curiosity about energy markets and quantitative analysis
• Fluent English, written and spoken

Bonus points if you have

• Experience from the energy sector, especially power trading or weather fundamentals
• Exposure to real‑time or automated trading systems
• Understanding of stack modelling

How you work

• You take ownership and actively look for opportunities to create value
• You're analytical, curious, and confident enough to challenge assumptions
• You enjoy asking questions, testing ideas, and improving based on feedback
• You're collaborative and motivated by achieving the best outcome for the team
• You combine attention to detail with high‑quality execution
• You thrive in a fast‑paced environment where priorities can evolve
• You're flexible, open‑minded, and ready to take on a broad range of challenges

What you can expect

• Real responsibility from the start and the opportunity to influence how we work
• Close collaboration with experienced analysts and traders in a high‑performing environment
• Hands‑on experience with quantitative modelling in the energy markets
• A steep learning curve supported by trust, transparency, and continuous feedback
• A casual workplace with a flat organization, no unnecessary bureaucracy, and plenty of room to grow