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Wood Mackenzie

Market Analyst – Power Trading Analytics

Wood Mackenzie

Market Analyst developing and maintaining power market forecasting models for Wood Mackenzie. Focusing on short-term analysis and leveraging advanced analytics for European markets.

Posted 7/8/2026full-timeLondon • 🇬🇧 United KingdomMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
PythonSQL

About the role

Key responsibilities & impact
  • Develop, enhance, and maintain price forecasting models for European power markets, focusing on short-term markets (day-ahead, balancing, and intraday).
  • Apply mathematical optimization methods and machine learning algorithms to analyse complex market dynamics and improve forecast accuracy.
  • Integrate and analyse large datasets, including power market fundamentals (e.g., demand patterns, weather models, and renewable generation outputs).
  • Design and maintain robust data pipelines to ensure accurate and timely model outputs.
  • Use data visualization tools such as Power BI to present insights clearly and effectively to both technical and non-technical audiences.
  • Collaborate with internal experts across power markets, data science, and policy to enrich our research and deliver comprehensive, client-facing insights.
  • Monitor and interpret European energy policies, regulatory frameworks , and their implications on market behaviour.
  • Support the development of new methodologies and product innovations to enhance our analytical capabilities and deliver deeper insights.
  • Engage with clients to understand their needs, present research findings, and provide tailored analytical solutions.

Requirements

What you’ll need
  • A degree in mathematics, engineering, computer science, economics, or a related quantitative discipline.
  • Experience in power markets and familiarity with their operational and regulatory frameworks.
  • Strong technical expertise in mathematical optimization methods, machine learning algorithms, and statistical modeling.
  • Proficiency in programming languages such as Python, R, or SQL for data manipulation and model development.
  • Experience with data visualization tools like Power BI, and the ability to communicate insights effectively.
  • Strong analytical mindset with the ability to distill complex concepts into clear, actionable information.
  • A collaborative approach, with the ability to work across diverse teams and deliver high-quality work under tight deadlines.
  • Excellent verbal and written communication skills in English.

Benefits

Comp & perks
  • Health insurance
  • Professional development opportunities

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
Statistical ModelingData ManipulationForecasting ModelsData Pipeline DesignAnalytical Methodologies
Soft Skills
Collaborative ApproachAnalytical MindsetEffective Communication