Part-Time Student Quantitative Analyst – Energy Markets

BD Energy A/S; Aarhus; On-site; DKK 165,000 - 248,000; Full time

Job summary

BD Energy A/S in Aarhus seeks a Student Quantitative Analyst to develop algorithmic trading strategies, data-driven models and risk tools to improve trading efficiency across Europe.

You will gather and structure large datasets, perform quantitative analyses, and contribute to forecasting capabilities. The role emphasizes independence, collaboration, and a strong interest in energy markets.

Qualifications

• Currently pursuing a Bachelor's (6th semester or later) or a Master's in Economics, Mathematics, Engineering, Computer Science or other quantitative field
• Proficiency in Python; experience in other languages (R, SQL, C#, VBA) a plus
• Strong mathematics and statistical skills
• Ability to work effectively in a high-energy, time-sensitive team environment
• Curious mindset and interest in financial markets and data analysis
• Experience with machine learning or predictive modelling is a plus

Responsibilities

• Develop algorithmic trading strategies, risk management tools, and dynamic valuation models
• Develop quantitative analyses drawing on intuition and insights from stakeholders
• Ensure the accuracy and appropriateness of performance metrics
• Actively pursuing knowledge to elevate the team’s forecasting capabilities
• Engage in ad-hoc tasks, including occasional business cases
• Contribute approximately 15-25 hours weekly to these endeavors

Skills

Python programming

Mathematics & statistics

Machine learning / predictive modeling

SQL

R

VBA

Education

Bachelor’s degree candidate (6th semester or later)

Master’s degree in Economics, Mathematics, Engineering, Computer Science or related quantitative field

Tools

SQL

R

VBA

Job description

BD Energy A/S in Aarhus seeks a Student Quantitative Analyst to develop algorithmic trading strategies, data-driven models and risk tools to improve trading efficiency across Europe.

You will gather and structure large datasets, perform quantitative analyses, and contribute to forecasting capabilities. The role emphasizes independence, collaboration, and a strong interest in energy markets.