At a Glance
- Tasks: Analyse European power markets and develop forecasting models using advanced techniques.
- Company: Join Wood Mackenzie, a leader in energy analytics and insights.
- Benefits: Dynamic work environment, collaboration with experts, and opportunities for innovation.
- Other info: Inclusive culture that values curiosity and collaboration.
- Why this job: Make an impact on the energy transition with data-driven insights.
- Qualifications: Degree in a quantitative field and experience in power markets required.
The predicted salary is between 50000 - 65000 £ per year.
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.
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.
Market Analyst - Power Trading Analytics in London employer: Wood Mackenzie Ltd
Wood Mackenzie is an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation among its 2,700 experts across 30 countries. With a strong commitment to employee growth, the company provides opportunities for professional development in the rapidly evolving field of cloud security, all while maintaining a flexible work environment in Edinburgh. Join us to be part of a forward-thinking team that values inclusivity and empowers you to make impactful contributions to the energy and natural resources sector.
StudySmarter Expert Advice🤫
We think this is how you could land Market Analyst - Power Trading Analytics in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Wood Mackenzie Ltd!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Market Analyst - Power Trading Analytics at Wood Mackenzie Ltd.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Wood Mackenzie Ltd.
✨Apply Directly through Our Website
When you find a suitable opening like Market Analyst - Power Trading Analytics at Wood Mackenzie Ltd, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Market Analyst - Power Trading Analytics in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Wood Mackenzie Ltd, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Wood Mackenzie Ltd. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Wood Mackenzie Ltd
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Wood Mackenzie Ltd!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.