Market Analyst - Power Trading Analytics
Role details
Job location
Tech stack
Job description
We are seeking a full-time Market Analyst to join Wood Mackenzie's Power Trading Analytics team, focusing on the short-term analysis of European power markets, including day-ahead, intraday, and balancing markets., As a Market Analyst, you will play a critical role in developing and maintaining power market forecasting models across various European geographies. Your work will focus on modelling market and leverage advanced mathematical optimization techniques, machine learning (ML) algorithms, and data analytics to provide accurate price forecasts and actionable insights for our clients., * 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
We are looking for a detail-oriented, innovative, and collaborative individual with a strong background in mathematical optimization, machine learning, and power markets. You thrive in analysing complex datasets and transforming them into meaningful insights., * 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.