Danske Commodities
Danske Commodities
501 – 1 000 Қызметкерлер
B2BЭнергетика
Danske Commodities — әлем бойынша 40-тан астам электр энергиясы мен газ нарығында жұмыс істейтін, технологияға негізделген энергетикалық сауда компаниясы. Оның командалары жаңартылатын және дәстүрлі энергия өндірушілерін коммуналдық қызмет көрсетушілермен, өнеркәсіптік тұтынушылармен, көтерме сауда нарықтарымен және басқа да ірі энергия пайдаланушыларымен байланыстырады. Компания энергетикалық жүйелерге икемділік қосу үшін газ қоймалары мен оларға қатысты активтерді де басқарады, сондай-ақ өндірушілерге, аккумулятор иелеріне және тұтынушыларға электр энергиясын сатып алу келісімдері, сауда және тәуекелдерді басқару қызметтерін ұсынады. Оның жұмысы деректерге негізделген нарық талдауын жылдам іске асырумен ұштастырып, икемдірек әрі жаңартылатын энергия үлесі артып келе жатқан энергетикалық жүйенің дамуына қолдау көрсетеді.

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.

Сипаттама

  • 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

Талаптар

  • 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

Артықшылықтар

  • 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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