高级助理，商业资产管理

We are looking for an enthusiastic and driven team member to join our Commercial Asset Management team, a sub-department within the broader Operations function. In this role, you will play a key part in managing and optimizing the performance of our operational asset portfolio.

You will report directly to the Head of Commercial Asset Management and contribute to the continued development and growth of our asset management capabilities. The role is based at our headquarters in Hellerup, Denmark, where you will become part of a diverse and highly skilled team.

Your key responsibilities

• Oversee revenue management and identify opportunities to optimize profitability across assigned assets
• Lead negotiations and management of commercial agreements, ensuring effective risk mitigation and value creation
• Manage OPEX budgets and provide regular reporting on commercial risks, liquidity metrics, and energy trading exposure across the portfolio
• Assess and monitor commercial risks, ensuring compliance with applicable regulatory requirements and minimizing financial exposure
• Monitor and manage open market exposure, including revenue-at-risk to power price volatility, and support the implementation of appropriate hedging and risk management strategies
• Contribute to early-stage project development by providing commercial input to support long-term financial sustainability
• Develop and enhance financial models to track asset performance, optimize commercial strategies, and support decision-making

About you

• Minimum 3 years of relevant experience.
• Financial or Economic background either due to studies or previous work.
• Experience in asset management and financial analysis along with related commercial business fields.
• Strong project management skills, with experience handling both internal and external stakeholders.
• Proven analytical and financial capabilities, ideally within the renewable energy markets.
• Excellent communication and negotiation skills
• Proficiency in Microsoft Office and general data analysis skills.
• A proactive problem solver with a curious and analytical mindset.

Are you interested?

Please send in your application in English no later than 30 May. Note that we may close the application process earlier if we find the right candidate. We encourage you to apply as soon as possible to ensure your consideration.

If you have any questions about the position, please contact our Team at [email protected]