Student Quantitative Analyst, Energy Trading

Norlys Energy Trading A/S

Aalborg

On-site

DKK 165,000 - 248,000

Part time

7 days ago
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Benefits offered by this job

Hands-on energy trading exposure
Collaborative team environment
Steep learning curve and high level of

Job summary

Norlys Energy Trading A/S is seeking a student in Aalborg to support the development of quantitative solutions that optimise energy assets in real time. You will learn from experienced colleagues while contributing to trading algorithms and data analysis in a fast-paced energy trading environment.

The role offers 15 hours per week and is designed to fit with your studies, located in Aalborg, Denmark.

Qualifications

  • Pursuing an advanced degree in a quantitative field such as physics, statistics, data science, or mathematical economics.
  • Experience with data analysis and statistical modelling.
  • Excellent problem-solving skills and strong attention to detail.
  • Ability to collaborate effectively in a fast-paced team environment.
  • A 'no job too big, no job too small' mindset, a can-do attitude, and a strong sense of urgency.

Responsibilities

  • Develop and improve trading algorithms for real-time asset optimisation.
  • Build an understanding of the Physical Asset Management IT landscape and algorithmic decision engine.
  • Analyse data and apply statistical models to support optimisation.
  • Support the development, testing, and debugging of quantitative solutions.
  • Contribute to the optimisation of renewables, batteries, and other asset classes.
  • Collaborate closely with experienced colleagues across the team.

Skills

Data analysis
Statistical modelling
Python
R
VBA
Team collaboration
Problem solving
Attention to detail
Initiative
Can-do attitude

Education

Advanced degree in physics
Advanced degree in statistics
Advanced degree in data science
Advanced degree in mathematical economics

Tools

Python
R
VBA

Job description

Norlys Energy Trading A/S is seeking a student in Aalborg to support the development of quantitative solutions that optimise energy assets in real time. You will learn from experienced colleagues while contributing to trading algorithms and data analysis in a fast-paced energy trading environment.

The role offers 15 hours per week and is designed to fit with your studies, located in Aalborg, Denmark.

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