Energy Trading Quant | Algorithms, Forecasting & Risk

BD Energy A/S; Aarhus; On-site; DKK 800,000 - 1,100,000; Full time

Job summary

BD Energy A/S in Aarhus seeks a Quantitative Analyst to build algorithmic trading strategies and data pipelines that inform traders across Europe. You will structure large datasets and develop models for risk management and forecasting to improve trading efficiency.

The role emphasizes mathematics, statistics, and collaboration in a fast-paced energy-markets environment, with opportunities to impact energy distribution and market dynamics across Europe.

Qualifications

• Master or PhD in Economics, Mathematics, Engineering, Computer Science, or other quantitative fields.
• Proficiency in Python; experience in R, SQL, C#, VBA is 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 data and stakeholder insights.
• Ensure accuracy and relevance of performance metrics.
• Pursue knowledge to elevate forecasting capabilities of the team.
• Engage in ad-hoc quantitative tasks as needed.

Skills

Python

Statistics

Machine Learning

Teamwork

Education

Master's degree

PhD

Tools

SQL

R

C#

Job description

BD Energy A/S in Aarhus seeks a Quantitative Analyst to build algorithmic trading strategies and data pipelines that inform traders across Europe. You will structure large datasets and develop models for risk management and forecasting to improve trading efficiency.

The role emphasizes mathematics, statistics, and collaboration in a fast-paced energy-markets environment, with opportunities to impact energy distribution and market dynamics across Europe.