Market Analyst - Power Trading Analytics

Posted Yesterday
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2 Locations
In-Office
Mid level
Software • Database • Analytics
The Role
Build and maintain short-term price-forecasting models for European power markets (day-ahead, intraday, balancing). Apply mathematical optimization and machine learning, integrate large market and weather datasets, design data pipelines, visualize results with Power BI, monitor policy impacts, collaborate with internal experts, and present client-facing insights.
Summary Generated by Built In

Wood Mackenzie is the global leader in analytics, insights and proprietary data across the entire energy and natural resources landscape.


For over 50 years our work has guided the decisions of the world’s most influential energy producers, utilities companies, financial institutions and governments.


Now, with the world’s energy system more complex and interconnected than ever before, sector-specific views are no longer enough. That’s why we’ve redefined what’s possible with Intelligence Connected.


By fusing our unparalleled proprietary data with the sharpest analytical minds, all supercharged by Synoptic AI, we deliver a clear, interconnected view of the entire value chain. Our trusted team of 2,700 experts across 30 countries breaks siloes and connects industries, markets and regions across the globe.


This empowers our customers to identify risk sooner, spot opportunities faster and recalibrate strategy with confidence – whether planning days, weeks, months or decades ahead.


Wood Mackenzie
Intelligence Connected


WoodMac.com


Wood Mackenzie Brand Video

Wood Mackenzie Values

  • Inclusive – we succeed together
  • Trusting – we choose to trust each other
  • Customer committed – we put customers at the heart of our decisions
  • Future Focused – we accelerate change
  • Curious – we turn knowledge into action

The Role

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.

Key Responsibilities

  • 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.

About You

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.

Essential Skills and Qualifications:

  • 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.

Why Join Us?

At Wood Mackenzie, we offer a dynamic and supportive environment where you will work with leading industry experts and cutting-edge technology. This is an opportunity to contribute to the energy transition by providing data-driven insights that shape strategic decisions across the energy sector.

We value intellectual curiosity, innovation, and collaboration. If you are passionate about using advanced analytical techniques to understand and forecast power markets, we encourage you to apply and be a part of our journey toward a sustainable energy future.


Equal Opportunities


We are an equal opportunities employer. This means we are committed to recruiting the best people regardless of their race, colour, religion, age, sex (including pregnancy, sexual orientation, and gender identity), national origin, disability or protected veteran status. You can find out more about your rights under the law at www.eeoc.gov 


Skills Required

  • Degree in mathematics, engineering, computer science, economics, or related quantitative discipline
  • Experience in European power markets and familiarity with 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
  • Experience with data visualization tools such as Power BI
  • Ability to integrate and analyse large datasets including demand, weather models, and renewable generation outputs
  • Experience designing and maintaining robust data pipelines
  • Excellent verbal and written communication skills in English and ability to present insights to technical and non-technical audiences
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The Company
HQ: Edinburgh
2,438 Employees

What We Do

In the middle of the energy transition, businesses and governments are faced with significant challenges. But the pace and scale of change mean every decision is made under mounting pressure. Now, more than ever, companies need reliable data, analytics and actionable insight. Wood Mackenzie is the leading global provider of data and analytics solutions for the renewables, energy and natural resources sectors . Wood Mackenzie’s services include data, analytics, insight, events and consultancy. A trusted partner for over 50 years, Wood Mackenzie’s team has over 2,300 experts across more than 30 global locations who cover the entire supply chain. Wood Mackenzie’s data and analytics empowers energy producers, governments and financial institutions to be confident in their investment decisions in the face of rapidly evolving markets. Part of the Veritas group.

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