Following a recent merger, FGE and NexantECA, leading consulting companies specializing in energy markets, are expanding our London, Singapore & Kuala Lumpur Gas & LNG Department.
This is not a traditional graduate research role.
You'll work on live questions in global gas and LNG markets, contribute to how insight is delivered through Lumen, and build real exposure to clients and commercial decision-making from early on. Over time, you'll take ownership of specific parts of the market and become a recognised voice - internally and externally.
It's a good moment to join. You won't just be contributing to analysis, you'll be part of shaping how it gets built, delivered, and used.
This role is designed to build both technical depth and commercial awareness. Over time you'll take on greater ownership of specific market areas, contribute more directly to client conversations, and develop confidence in forming and communicating your own views. There's also opportunity to build an external profile through client interaction, events, and market-facing content as you progress.
We're investing in Lumen and in AI-assisted workflows, which means early-career analysts here will develop a skillset that combines market knowledge, data fluency, and practical AI literacy. That's a combination that's increasingly rare and valuable in this industry.
We're open to both graduates and early-career hires with up to 4 years' experience. You might come from energy, economics, engineering, finance, or a related field - the discipline matters less than the mindset.
We're particularly interested in people who:
- Are genuinely curious about how markets work — not just in theory, but in practice
- Enjoy working with data and solving problems that don't have clean answers
- Can think critically and communicate clearly, even under uncertainty
- Are comfortable learning fast and working in evolving environments
- Have already started exploring how AI tools can support analytical and research work, or are eager to
- Want to build a real career in energy markets, with ownership and progression
Technically, strong Excel skills are essential; Python or SQL is a meaningful plus. Familiarity with Snowflake or similar cloud data platforms - even through coursework or personal projects - is increasingly relevant and will be valued, as is any hands-on experience with AI or LLM tools.