Senior Power & Gas Trader – London, UK

Senior Power & Gas Trader – Asset

About the Role

We are seeking a highly analytical and technology-driven Power & Gas Trader to support and expand our activity across UK Energy markets. This position blends Trading/research, market analysis, and algorithmic execution within a fast-moving commodities trading environment.

The successful candidate will play a key role in designing systematic trading approaches, interpreting market signals, and enhancing trading performance through data-driven decision making.

Key Responsibilities

• Design, implement, and manage trading strategies focused on UK Power and natural gas markets
• Monitor live algorithmic trading activity and adjust models based on evolving market behaviour and risk exposure
• Conduct in-depth analysis of market fundamentals including supply and demand balances, storage trends, pipeline flows, Grids, weather impacts, and macroeconomic or geopolitical developments
• Partner closely with quantitative researchers, traders, and software engineers to build scalable and automated trading solutions
• Evaluate trading results and identify opportunities to improve execution, forecasting accuracy, and portfolio performance
• Support the ongoing development of trading systems, analytical tools, and infrastructure enhancements
• Contribute new ideas and research initiatives that strengthen market positioning and trading capabilities

Candidate Profile

• Master’s degree in a quantitative discipline such as Mathematics, Engineering, Economics, Physics, Finance, Statistics, or a related field
• Minimum of 10 years of experience within Power, natural gas trading, energy markets, or a comparable commodities environment
• Strong understanding of UK energy market structures, pricing drivers, and physical/fundamental dynamics
• Familiarity with energy trading venues and execution platforms including ICE, CME, or equivalent systems
• Advanced analytical and quantitative capabilities, particularly in statistics, econometrics, optimization, or predictive modelling
• Proficiency in Python or another programming language commonly used for quantitative analysis and automation
• Ability to work from London

Preferred Qualities

• Experience developing systematic or algorithmic trading models
• Strong problem-solving mindset with the ability to make decisions under uncertainty
• Effective communication skills and ability to collaborate across trading and technical teams
• Curiosity for market behaviour and enthusiasm for leveraging technology in trading environments