At a Glance
- Tasks: Develop and maintain analytics platforms for power market models and asset optimisation.
- Company: Leading UK energy analytics firm shaping the future of energy markets.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and career advancement.
- Why this job: Join a dynamic team and make a real impact in the evolving energy sector.
- Qualifications: Strong Python skills and a passion for quantitative modelling and energy markets.
The predicted salary is between 42750 - 52250 £ per year.
Our client is a UK-based energy analytics and consulting firm focused on helping organisations understand and manage value, risk, and revenues across energy markets and flexible assets.
The business works across European power markets and provides sophisticated analytical and modelling capabilities to support decision-making in the rapidly evolving energy sector.
We’re looking for a technically strong Power Technical Analyst to join the Technical Analytics team and play a key role in maintaining and developing the production analytics platform that underpins power market and flexible asset models.
This is an opportunity to combine professional Python development with quantitative modelling, optimisation, and energy market expertise.
The successful candidate will work on sophisticated power market models and asset-level optimisation, contributing to the development of analytical capabilities across European energy markets.
Responsibilities Platform Development
Technical Analyst - Power Markets employer: Climate17
Climate17 is an exceptional employer, offering a dynamic work environment where you can play a pivotal role in the UK's transition to low-carbon heat. With a strong focus on employee growth, competitive salaries, and a comprehensive benefits package including performance bonuses and private medical insurance, we foster a culture of inclusivity and collaboration. Join us in shaping the future of sustainable infrastructure while enjoying the flexibility of a hybrid working model.
