Student Quant Analyst — Nordic Power Trading

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

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.