Intraday Power Analytics Intern: Python & ML

Danske Commodities; Aarhus; Hybrid; DKK 300,000 - 450,000; Part time

Benefits offered by this job

Shape your development tailored growth

100+ DC University courses & Harvard学习

100+ yearly events

Global career paths via Equinor

Flexible work life to fit your studies

Free tickets & discounts

Organic meals

On-site wellness

HQ in the heart of Aarhus

Job summary

Danske Commodities in Aarhus is seeking a student employee to join the Intraday Analysis team. You will analyse market and trading data, develop and backtest quantitative models, and build Python tools and dashboards to support traders.

You will work with analysts and traders, apply basic statistics and ML methods, and learn how to turn data into actionable insights while developing your programming and analytical skills in a collaborative environment.

Qualifications

• Currently enrolled in a relevant higher education programme (e.g. data science, computer science, mathematics, physics, economics or engineering)
• Programming experience in Python through studies, projects or previous work
• Understand fundamental statistical or quantitative methods and apply them to data
• Interested in financial markets, trading, machine learning or optimisation
• Proficient in English – both written and spoken

Responsibilities

• 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

Skills

Python

Data analysis

Statistics

Machine learning

Trading

Education

Higher education program in data science / CS / math / physics / economics / engineering

Tools

Pandas

Backtesting

Job description

Danske Commodities in Aarhus is seeking a student employee to join the Intraday Analysis team. You will analyse market and trading data, develop and backtest quantitative models, and build Python tools and dashboards to support traders.

You will work with analysts and traders, apply basic statistics and ML methods, and learn how to turn data into actionable insights while developing your programming and analytical skills in a collaborative environment.