Student Quant Analyst: Intraday Power Trading (Python)

Danske Commodities; Aarhus; On-site; DKK 279,000 - 391,000; Part time

Benefits offered by this job

HQ in the heart of Aarhus

Flexible work life

Harvard Learning access

DC University courses

Job summary

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

You will build dashboards, backtest ideas, and collaborate with analysts and traders to turn data into actionable insights. This is a student employee role that offers growth and hands-on exposure to European intraday power trading.

Qualifications

• Enrolled in a relevant higher education program (Data Science, CS, Math, Physics, Economics or Engineering).
• Have programming experience in Python through studies, projects or previous work and are motivated to strengthen skills.
• Understand fundamental statistical or quantitative methods and can apply them to data.
• Interested in financial markets, trading, machine learning or optimisation.
• Proficient in English – written and spoken.

Responsibilities

• Analyse market behavior 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 analyses and models, investigate unexpected results and improve reliability.
• Contribute to ad-hoc analyses and development tasks in collaboration with analysts, traders and other teams.

Skills

Analytical thinking

Python programming

Statistics basics

Machine learning basics

English proficiency

Education

Enrolled in a relevant higher education program (Data Science / CS / Math / Physics / Economics / Engineering)

Tools

Python

Pandas

NumPy

Job description

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

You will build dashboards, backtest ideas, and collaborate with analysts and traders to turn data into actionable insights. This is a student employee role that offers growth and hands-on exposure to European intraday power trading.