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Danske Commodities
Danske Commodities
501 – 1,000 Employees
B2BEnergy
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.
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Quantitative Analyst, Automated Trading – US Power Markets (Hybrid)

Build machine-learning trading strategies for Danske Commodities by converting US power-market data into automated decisions. This role combines quantitative research, predictive modeling, and production algorithmic trading.

DKDenmarkHybridFull-timeMiddleSeniorEnglish RequiredData Analyst
PythonPyTorchScikit-Learn

Description

  • Build and deploy automated trading strategies with Python and modern machine-learning or deep-learning frameworks
  • Convert large, high-dimensional datasets into predictive models and actionable trading signals
  • Improve established models, technical infrastructure, and research workflows
  • Partner with US traders and analysts to turn market knowledge into scalable quantitative products
  • Stay current with advances in machine learning, deep learning, and quantitative finance
  • Move promising ideas from research into production
  • Develop and run algorithmic strategies for electricity markets

Requirements

  • Hold an MSc or PhD in data science, computer science, mathematics, physics, or a related discipline
  • Demonstrate advanced Python development capability
  • Have experience producing reliable, production-ready software
  • Bring substantial experience with machine-learning methods and tools such as PyTorch and Scikit-learn
  • Understand current advances in machine learning and deep learning
  • Translate leading research into usable real-world solutions
  • Have worked in a highly analytical setting
  • Energy-industry experience is not required

Benefits

  • Individual development plans tailored to your growth
  • Access more than 100 DC University courses and Harvard Learning
  • Participate in over 100 social and cultural events each year
  • Pursue international career opportunities through Equinor’s global network
  • Flexible working hours
  • Part-time work opportunities
  • Work from home up to two days per week
  • Receive one paid Friday off each month, excluding July and December
  • Up to 26 weeks of paid parental leave
  • Pension contributions during parental leave
  • Support when returning from leave
  • Unlimited paid days for a child’s illness
  • Five extra vacation days in addition to five weeks of annual leave
  • Additional senior days off for employees aged 55 and over
  • 10% pension contribution
  • Health insurance
  • Bonus program
  • Equinor share program
  • Paid internet, phone, and IT equipment
  • Discounts and complimentary access for cultural events, family activities, hotels, and restaurants
  • Organic meals, snacks, dinner, and takeaway food
  • Barista café
  • On-site gym, physiotherapy, chiropractic care, and massage services
  • Aarhus headquarters near public transportation

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