Quant Trader — Own Data-Driven Gas & Power Strategies

Danske Commodities; Aarhus; On-site; DKK 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Shape your development

Harvard Learning access

100+ DC University courses

Global career paths via Equinor

Flexible work life with WFH days

Job summary

Danske Commodities is seeking a Quantitative Trader to own systematic strategies across gas and power forwards. You will develop signals, test ideas, and run automated strategies with risk and PnL ownership, collaborating with traders, analysts and engineers.

You should hold a MSc/PhD in a quantitative field, understand forwards/futures, and have 4+ years of relevant experience, including Python production code and practical ML/statistics know-how. Prior energy sector knowledge is not required.

Qualifications

• MSc/PhD in statistics, economics, mathematics, physics, computer science, financial engineering or related quantitative field.
• Understand financial markets and trading, including forwards and futures, curves and spreads.
• Solid foundation in applied statistics and machine learning, and know how to use it with sound commercial judgement.
• Can write clean, production-ready code in Python.
• Have experience with real PnL, from trading, a prop environment, a research desk or a serious personal project.
• Bring 4+ years of relevant experience from trading, quantitative research or a similar environment.

Responsibilities

• Generating and testing new trading ideas across gas and power forwards, and identifying where the market is mispriced.
• Developing signals and models using machine learning and advanced quantitative modelling, and taking the most promising ones into production.
• Running automated strategies in the market, including position sizing, execution setup and ongoing performance monitoring.
• Owning the PnL and risk of your strategies within your mandate, scaling what works and shutting down what does not.
• Collaborating with traders, analysts and engineers to turn ideas into robust, scalable strategies.
• Continuously exploring new data, products and methods in search for new sources of alpha.

Skills

Python

Statistics

Machine learning

Quant trading

Education

MSc/PhD in statistics, economics, mathematics, physics, computer science, financial engineering or related quantitative field

Job description

Danske Commodities is seeking a Quantitative Trader to own systematic strategies across gas and power forwards. You will develop signals, test ideas, and run automated strategies with risk and PnL ownership, collaborating with traders, analysts and engineers.

You should hold a MSc/PhD in a quantitative field, understand forwards/futures, and have 4+ years of relevant experience, including Python production code and practical ML/statistics know-how. Prior energy sector knowledge is not required.