Offshore Commodity Risk Management Analyst d/f/m NEW

Job description

We have an excellent opportunity for a Commodity Risk Management Analyst to join RWE’s Offshore Projects & Investments team. Support the team in building clear, decision-useful visibility into risk exposures across the offshore wind portfolio. The role focuses on data integrity and exposure analysis, contributing to risk management and hedging strategies, and coordinating across cross-functional teams to ensure risks are understood, tracked, and managed intentionally.

You will support project teams by analyzing commodity, inflation, and indexation exposures; contributing to the development of standardized reporting; and helping implement agreed risk management approaches. You will work closely with cross-functional teams on contractual assumptions and learn to apply the team’s in-house modelling tools to real project decisions.

We welcome applicants who enjoy combining technical analysis with commercial problem-solving, are comfortable working with evolving data and assumptions, and are motivated by collaboration in a fast-paced environment.

About the role: 

• Support identification and quantification of commodity and inflation exposures across projects
• Maintain exposure models, assumptions, and supporting data tracking how exposures evolve across lifecycle stages (pre-FID through operations).
• Assist with analysis of project indexation risks, helping to inform risk management and hedging recommendations.
• Learn to use and apply our in-house modelling and reporting tools, providing analysis and insights to support project decision-making.
• Collaborate with colleagues in Procurement, Controlling, Commercial, AG, and RWEST.
• Assist in preparing and delivering clear presentations and reports for project teams and senior management.
• Grow your knowledge of the renewable energy market, commodities markets, and risk management.

Job requirements and experience:

• Degree (or equivalent qualification) in a numerate subject such as economics, finance, engineering, mathematics or similar.
• Excellent analytical and quantative skills.
• Strong Excel skills; familiarity with other tools such as Python, SQL, VBA, HTML, or Microsoft Azure is an advantage but not required.
• Analytical mind, with attention to detail and an interest in understanding what drives numbers and trends.
• Good verbal and written communication skills; able to present information clearly to others.
• Collaborative team player; open to feedback and ready to contribute to team discussions.
• Experience with financial or cost modelling is beneficial, but not essential.
• A postgraduate qualification or direct experience in finance, economics, mathematics, or renewable energy is a plus, but not required.