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We are seeking a fixed-term Energy Trading Analyst to support day-to-day energy market trading decisions for our EV portfolio. Zenobe is innovating in the domain of EV flexibility trading and is looking for someone to run our daily trading operation while we develop an internal scalable product. The role primarily focuses on data processing and analysis to ensure daily trading process is running to the highest standards. You will work closely with trading, software, and data teams to analyse EV fleet charging profiles, forecast demand and prices, and deliver accurate, timely data to support market participation. The role also involves process automation and data pipeline development, ensuring workflows are efficient and scalable. While the role relies heavily on manually processing data across multiple platforms, the ideal candidate will be using python to automate as much of the manual work as possible. This fixed term role is a great opportunity to get hands on experience in an innovative and exciting industry as part of the Commercial Analytics team.
Job Responsibility:
Extracting energy price, auction results and operational data
Build and maintain excel-based tooling models to support trading decisions
Produce insights that directly inform day-to-day trading activities
Provide data-driven inputs to support daily trading on wholesale electricity market
Monitor market settlements, and update P&L report and market participation metrics
Support issue resolution with ELEXON and EPEX
Collaborate with traders/senior stakeholders to ensure data is accurate and actionable
Support the development of automated data pipelines to streamline data ingestion, cleaning, and reporting
Develop Python scripts and/or Excel-based tools to reduce manual effort and improve efficiency
Maintain in-house analytical tools for forecasting, performance monitoring, and reporting
Leverage AI tools (e.g. Claude Code, GitHub Copilot) to accelerate development, automate workflows, and enhance data analysis
Actively contribute to Zenobe's commitment to health and safety, wellbeing and sustainability
Requirements:
STEM qualification (e.g. engineering, applied physics), 1st or 2-1
Good understanding of UK energy markets and trading fundamentals
Advanced Excel skills for data processing, modelling, and reporting
Good python skills
Experience with AI-assisted development tools to automate data processing, analysis, or coding tasks
Strong analytical, mathematical, and problem-solving abilities
Excellent communication, reporting, and presentation skills
Curious, proactive, and able to deliver data projects from concept to implementation
Nice to have:
Additional software engineering/computer science skills e.g. SQL, AWS
Previous experience in energy market trading, data analysis, software or engineering role
Master’s degree
What we offer:
Up to 33% annual bonus for being awesome
25 days holiday, increasing with length of service up to 30 days, plus bank holidays