An exciting opportunity has arisen for a motivated and commercially minded Trading Analyst to join a fast-growing organisation within the energy sector. This Front Office role blends data analysis with financial decision-making, offering the chance to directly influence trading strategy and portfolio performance.
You will operate similarly to a data analyst but with a strong financial and market focus-translating data into actionable trading insights, supporting algorithmic strategies, and helping to optimise revenue in a dynamic and evolving market.
Key Responsibilities
* Work alongside an automated trading platform to provide real-time insights and actively support portfolio management
* Analyse market data to identify trading opportunities and enhance short-term power trading strategies
* Produce regular reports on trading performance, market trends, and revenue optimisation opportunities
* Translate complex data into clear, commercially focused insights for both technical and non-technical stakeholders
* Collaborate with data engineering teams to improve and refine trading models and algorithms
* Monitor portfolio performance and proactively intervene to maximise value
* Support effective collateral management across the trading function
* Investigate market dynamics and communicate key insights across the trading team
* Contribute to accurate execution of daily trading activities
About You
Essential:
* Degree in a relevant discipline (e.g. Economics, Finance, Mathematics, Engineering, Data Analytics)
* Strong numerical and analytical capability
* Minimum 3 years' experience within the GB energy market
* Experience in short-term power trading within Great Britain
* Strong interest in financial markets, energy trading, and revenue optimisation
* Experience producing reports and presenting data-driven insights
* Strong communication skills, with the ability to bridge technical and commercial teams
* Self-motivated, detail-oriented, and comfortable working in a fast-paced environment
Desirable:
* Experience in a product, data, or engineering-led environment
* Exposure to Virtual Power Plants (VPPs)
* Experience working with trading systems, Python, SQL, or similar analytical tools
Working Arrangements
* Hybrid model: minimum 3 days per week in the Belfast office (Tuesday is a core in-office day)
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Why Apply?
This is an opportunity to play a key role in a high-growth, data-driven energy trading environment. You'll combine analytical thinking with commercial impact, working closely with both trading and engineering teams to shape strategy and drive performance.