Product Owner - Analytics & Quant Modeling for Trading

Ørsted A/S

Denmark

Remote

DKK 900,000 - 1,400,000

Full time

14 days+

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Job summary

Ørsted A/S is seeking a Product Owner for the Analytics & Portfolio Models team within Digital Technology. You will own the product area enabling quantitative models, analytics capabilities, and development platforms for traders, analysts, and quants across the trading organisation.

You will collaborate with stakeholders in Trading, Analytics, Portfolio Models, and Digital Technology across Denmark, Poland, and Malaysia to turn analytical insights into actionable, scalable products.

Qualifications

Experience as a Product Owner or similar with roadmap ownership.
Experience in energy or commodity trading or financial markets.
Experience with analytics capabilities or quantitative models.
Ability to engage with engineers, architects, and data specialists.
Understanding governance and cybersecurity in trading contexts.

Responsibilities

Drive evolution of analytics and modelling platforms and infrastructure that accelerate analytics, AI adoption, portfolio optimisation, and decision-making across Ørsted’s trading business.
Drive the products for fast and frictionless analytics, model development, and experimentation through self-service capabilities, development environments, automated onboarding, and modern engineering tools.
Shape the product roadmap by balancing innovation and speed with cybersecurity, governance, and operational resilience.
Ensure seamless access to data and digital capabilities through close collaboration with the Trading Data Products organisation, architects, and development teams across Commercial Digital Technology.
Drive product scalability and adoption by continuously improving user experience, performance, reliability, and transparency across analytics and portfolio modelling ecosystems.
Enable the next generation of AI-powered ways of working by providing foundations for experimentation, model development, agentic software engineering, and responsible adoption of AI technologies.