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We are EDP, a global energy company present in around 29 markets with a particular emphasis on renewable energies. With 50 years of experience, we have been consolidating a relevant presence on the world energy scene based on the commitment to be all-green by 2030, leading the energy transition. With more than 13,000 employees around the world, we are committed to using our energy and heart to drive a better tomorrow. We are looking for a Quantitative Market Modeling Specialist to join our team and play a key role in developing forecasting models, trading strategies, and analytical solutions for commodities and energy markets. This role is central to supporting operational optimization, data-driven decision-making, and the development of scalable analytical models and data architectures. The successful candidate will contribute to forecasting activities, market analysis, and continuous improvement initiatives within multidisciplinary environments combining engineering, data, and business perspectives.
Job Responsibility
Develop and implement forecasting models for commodities markets
Develop and implement trading strategies for commodities
Work with structured and unstructured data to support operational optimization
Support the development and maintenance of scalable data pipelines and analytical models
Participate in model validation, testing, and performance monitoring activities
Contribute to technical documentation and continuous improvement of data and system architectures
Stay up to date with advancements in energy systems modelling, forecasting techniques, and digital energy platforms
Requirements
University degree (Bachelor's degree or equivalent) in Engineering, Mathematics, Computer Science, or related scientific fields
Strong analytical and quantitative skills, with experience working with complex datasets
Programming experience in Python or similar languages
Ability to work in multidisciplinary environments combining engineering, data, and business perspectives
Experience in the implementation of forecasting models, including energy production, demand, or market forecasting
Experience in energy markets, renewable energy systems, or system operations will be highly valued
Familiarity with data pipelines, system integration, and applied modelling techniques