Danske Commodities

501 – 1,000 Employees

Danske Commodities is a technology-driven energy trading company operating across more than 40 power and gas markets worldwide. Its teams connect renewable and conventional energy producers with utilities, industrial customers, wholesale markets and other large-scale energy users. The company also manages gas storage and related assets to add flexibility to energy systems, while providing power purchase agreements and trading and risk management services for producers, battery owners and consumers. Its work combines data-led market analysis with rapid execution and supports the development of a more flexible, increasingly renewable energy system.

Company Jobs

Quantitative Analyst – Weather Analysis, Aarhus Hybrid

Build weather models, machine learning methods, and Python-based solutions for power trading. Apply quantitative analysis to renewable asset optimisation and trading decisions at Danske Commodities.

2 days ago

Denmark Hybrid Full-time Middle Senior English Required Data Analyst

Linux Python

Description

Research AI- and data-driven weather models for power trading
Create and enhance fundamental forecasts that convert weather signals into actionable power market intelligence
Deliver ad hoc weather and market analysis for trading, renewable asset balancing, and commercial decisions
Investigate additional data sources, modelling techniques, and analytical approaches
Convert research findings into reliable, scalable tools for traders and algorithms
Produce weather-based insights, forecasts, and models for trading and renewable asset optimisation
Work with stakeholders across the organisation
Lead quantitative modelling and research initiatives

Requirements

Degree in Economics, Physics, Computer Science, Mathematics, Data Science, or another quantitative discipline
Professional experience writing maintainable, production-ready Python
Confidence working in Linux environments and with standard command-line tools
Strong quantitative fundamentals
Capability with statistical, mathematical, or data-driven modelling
Experience handling large and complex datasets
Ability to turn data-derived findings into usable solutions
Interest in the power trading industry
Practical, collaborative approach to execution
Previous energy-sector experience is not required

Benefits

Personal development plans, access to more than 100 DC University courses, and Harvard Learning
More than 100 annual events, including office celebrations and DC Sports activities
International career opportunities through Equinor’s global network
Flexible hours, part-time arrangements, and up to two remote working days each week
One paid Friday off each month, excluding July and December
Up to 26 weeks of paid parental leave, pension contributions during leave, and support after returning
Unlimited paid leave for a child’s illness
Five additional annual leave days beyond the standard five weeks
Additional time off for employees aged 55 and over
10% pension contribution
Health insurance
Bonus programme
Access to Equinor’s employee share programme
Paid internet, phone, and IT equipment
Free tickets and discounts for cultural activities, family experiences, hotels, and restaurants
Organic breakfast, lunch, snacks, dinner, and takeaway meals
Barista café on site
On-site gym, physiotherapy, chiropractic care, and massage therapy
Headquarters in central Aarhus near public transport

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Quantitative Analyst – Weather Analysis, Aarhus Hybrid

Build weather models, machine learning methods, and Python-based solutions for power trading. Apply quantitative analysis to renewable asset optimisation and trading decisions at Danske Commodities.

Description

Requirements

Benefits

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