Energy Quant Trader: Gas & Power Forwards, Remote

Cph Ai Hub; Aarhus; Hybrid; DKK 673,000 - 1,121,000; Full time

Benefits offered by this job

DC University courses

Harvard Learning access

Flexible work life

Job summary

Danske Commodities is hiring a Quantitative Trader to own systematic strategies across European gas and power forwards. You’ll develop, test and run models backed by data, taking responsibility for strategy performance and risk.

You will work with a team of quantitatively strong colleagues, leveraging ML, statistics and production-grade Python to generate alpha and manage live PnL. This role is based in Aarhus and offers strong development opportunities.

Qualifications

• MSc or PhD in statistics, economics, mathematics, physics, computer science, financial engineering or related quantitative field.
• Understand financial markets and trading, forwards/futures, curves and spreads, and risk/return.
• Solid foundation in applied statistics and machine learning with commercial judgement.
• Proficient in writing clean, production-ready Python code.
• Experience with real PnL from trading, prop environment, or serious personal project.
• 4+ years of relevant experience in trading, quantitative research or similar.

Responsibilities

• Generate and test new trading ideas across gas and power forwards and identify mispricing opportunities.
• Develop signals and models using machine learning and quantitative methods and move promising ones to production.
• Run automated strategies with position sizing, execution setup and ongoing monitoring.
• Own the PnL and risk of your strategies within your mandate and scale successful ideas.
• Collaborate with traders, analysts and engineers to turn ideas into robust, scalable strategies.
• Explore new data, products and methods to find new sources of alpha.

Skills

Quantitative analysis

Python

Machine learning

Statistics

Trading acumen

Education

MSc/PhD in quantitative field

Job description

Danske Commodities is hiring a Quantitative Trader to own systematic strategies across European gas and power forwards. You’ll develop, test and run models backed by data, taking responsibility for strategy performance and risk.

You will work with a team of quantitatively strong colleagues, leveraging ML, statistics and production-grade Python to generate alpha and manage live PnL. This role is based in Aarhus and offers strong development opportunities.