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Danske Commodities
Danske Commodities
501 – 1.000 Angajați
B2BEnergie
Danske Commodities este o companie de tranzacționare a energiei bazată pe tehnologie, care operează pe mai mult de 40 de piețe de energie electrică și gaze la nivel mondial. Echipele sale conectează producătorii de energie regenerabilă și convențională cu furnizori de utilități, clienți industriali, piețe angro și alți mari consumatori de energie. Compania gestionează, de asemenea, capacități de stocare a gazelor și active conexe pentru a spori flexibilitatea sistemelor energetice, oferind totodată acorduri de achiziție a energiei electrice, precum și servicii de tranzacționare și de gestionare a riscurilor pentru producători, proprietari de baterii și consumatori. Activitatea sa combină analiza pieței bazată pe date cu execuția rapidă și sprijină dezvoltarea unui sistem energetic mai flexibil, bazat într-o măsură tot mai mare pe surse regenerabile.
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Locurile de muncă ale companiei

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.

DKDanemarcaHibridNormă întreagăNivel mediuSeniorLimbă Obligatorie: englezăAnalist de date
PythonPyTorchScikit-Learn

Descriere

  • 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

Cerințe

  • 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

Beneficii

  • 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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