Quantitative Analyst, Weather Analysis

Danske Commodities

. Conduct research in AI- and data-driven weather modelling within a power trading context .

Posted 10/9/2026full-timeAarhus • DenmarkMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI- and data-driven weather modelling, with a strong foundation in quantitative analysis and the ability to develop scalable solutions for power trading. Proficient in Python programming and capable of transforming complex datasets into actionable insights for trading decisions.

Highest-signal resume keywords

Python ProgrammingQuantitative ModellingData AnalysisWeather ForecastingLinux Environment

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Applicant Tracking System Keywords

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Hard Skills

Data ScienceStatistical ModellingMathematical ModellingProduction-Quality CodeLarge Dataset Management

Soft Skills

CuriosityExecution MindsetCollaboration

Tools & Technologies

Command-Line Tools

Industry Keywords

Power TradingRenewable Asset Optimisation

Tech Stack

Tools & technologies

LinuxPython

About the role

Key responsibilities & impact

Conduct research in AI- and data-driven weather modelling within a power trading context
Develop and improve fundamental forecasting solutions translating weather signals into actionable power market insights
Perform ad hoc weather and market analyses supporting trading, renewable asset balancing and commercial decision-making
Explore new data sources, modelling approaches and analytical methods
Turn research and analysis into robust, scalable solutions for traders and algorithms
Develop weather-driven insights, forecasts and models supporting trading decisions and renewable asset optimisation
Collaborate with stakeholders across the organisation
Take ownership of quantitative modelling and research projects

Requirements

What you’ll need

Educational background in Economics, Physics, Computer Science, Mathematics, Data Science or a related quantitative field
Experience writing production-quality, maintainable code in Python
Comfortable working in Linux-based environments and using common command-line tools
Solid quantitative foundation
Ability to work with statistical, mathematical or data-driven modelling
Ability to work with large, complex datasets
Ability to transform data-driven insights into practical solutions
Curiosity about the power trading domain
Execution and collaborative mindset
Prior knowledge of the energy sector is not required

Benefits

Comp & perks

Tailored growth plans, 100+ DC University courses and Harvard Learning access
100+ yearly events, including office parties and DC Sports events
Global career paths through Equinor’s international network
Flexible working hours, part-time options and up to 2 work-from-home days per week
One paid Friday off every month (July and December excluded)
Up to 26 weeks paid parental leave, pension during leave and post-leave support
Unlimited paid child’s sick days
5 additional days off on top of 5 weeks
Extra time off for employees aged 55+
10% pension
Health insurance
Bonus scheme
Option to join Equinor’s share programme
Paid internet, phone and IT equipment
Free tickets and discounts for culture, family activities, hotels and restaurants
Organic meals, including breakfast, lunch, snacks, dinner and takeaway
On-site barista café
On-site gym, physiotherapy, chiropractic and massage therapy
HQ in the heart of Aarhus, close to public transport