Energy Market Forecasting & Modeling Lead

EDP Renewables; Lisboa; Híbrido; EUR 55 000 - 75 000; Tempo integral

Resumo da oferta

EDP Renewables is seeking a Quantitative Market Modeling Specialist to join our team in Lisbon. You will develop forecasting models for energy and commodities markets, and help design trading strategies that support operational optimization and data-driven decision making.

The role requires a university degree in engineering, mathematics, or computer science, strong analytical skills, and Python programming experience.

Qualificações

• Bachelor's degree in Engineering, Mathematics, Computer Science, or related field.
• Strong analytical and quantitative skills with experience handling complex datasets.
• Programming experience in Python or similar languages.
• Ability to work in multidisciplinary environments combining engineering, data and business perspectives.
• Experience in forecasting models including energy production, demand, or market forecasting.
• Experience in energy markets or renewable energy systems is valued.

Responsabilidades

• 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.

Conhecimentos

Python

Analytical skills

Data analysis

Formação académica

Bachelor's degree in Engineering, Mathematics, Computer Science, or related field

Descrição da oferta de emprego

EDP Renewables is seeking a Quantitative Market Modeling Specialist to join our team in Lisbon. You will develop forecasting models for energy and commodities markets, and help design trading strategies that support operational optimization and data-driven decision making.

The role requires a university degree in engineering, mathematics, or computer science, strong analytical skills, and Python programming experience.