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LNG Commodity Owner

Sparta Commodities

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placeLondon home_work出社 scheduleフルタイム labelCommodities & Analytics public集約求人 · GB

event2026年11月12日に公開 · verified2026年11月12日時点で募集中であることを確認済みです

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求人について

We Are Sparta Sparta is the AI leader for commodity trading, home to Leonidas AI, the first operating system for oil and commodity traders. Backed by $42 million in Series B funding led by One Peak, with participation from returning investors FirstMark and Singular, the same investors behind AI leaders like Legora, Dataiku, and Synthesia. Most companies are building a chatbot on top of data. We've built an agent with an actual reasoning layer, grounded in years of proprietary market data and in-house trading expertise nobody else has. We're scaling fast, and it's an exciting time to join. From independents to multinationals, the world's leading commodity teams use Sparta and Leonidas AI to move faster, trade smarter, and stay ahead of the market. At Sparta, you'll be trusted to take ownership, backed by a team who wants you to succeed. AI is how we build here, not just what we sell. Good ideas move fast, and yours could go from staging to production in a couple of hours, whatever department you're in. You'll be challenged, supported, and given room to grow, building the AI that's changing how commodity trading gets done. Your work has reach. From shaping Leonidas AI, to powering smarter decisions for traders around the world, to changing how commodity trading is done. And because we're growing fast, you'll accelerate your career with a level of ownership and impact you simply won't get at bigger, slower-moving companies. LNG Commodity Owner, Sparta Commodities Singapore, Geneva or London LNG moves on netbacks, shipping and a handful of hubs that rarely agree with each other. Plenty of people write about that. We want the person who builds the system that connects all the pieces of the puzzle, and then puts it in front of traders and makes it sell. Sparta is building the data platform that energy traders, analysts and commercial teams use to make faster, better decisions. We cover forward curves, price assessments, market intelligence and trade flows across the global energy complex. LNG is our next vertical, and we want an exceptional builder to lead it.

The role

This is a builder's seat. It isn't just an analyst position, a sales role or a thought-leadership seat. You will be leading the development of Sparta's LNG offering, from the first netback model to the AI analyst that puts together a forward view on LNG markets autonomously, working with our engineering, product, data and commercial teams. You will set the direction and stay hands-on: prototyping, testing and shipping with the team, not handing over a spec and waiting. Building on its own is not enough. The job is to build a product LNG desks will pay for, which means time with clients is as much a part of the role as time in the code. We are looking for someone who knows LNG deeply: JKM, TTF and Henry Hub relationships, netbacks and delivered economics, shipping and regasification costs, cargo arbitrage between basins and contract structures. Your job is to turn that knowledge into products. Expect a good part of your week to be hands-on with AI coding tools: prototyping a pricing model in Python, standing up a data pipeline, creating market-leading knowledge graphs that an AI agent follows and testing its answers against desk judgement. The rest goes on working with engineers to harden, scale and ship what the team builds.

The role

reports to our Head of Commodities.

What you'll do

Building products, data pipelines and AI agents (~55% of role) Lead the design and build of Sparta's LNG product set: netbacks, arbitrage routes, delivered price curves and the analytical tools that sit on top of them Build the LNG expert inside Leonidas with our AI engineers: the tools it calls, the domain rules it follows and the knowledge base behind them Build automated products with the team: a daily LNG brief autonomously written by AI analyst, alerts on the curves and spreads that matter, and the quality checks that catch errors before clients see them Build evaluation sets that test the AI against desk judgement, and keep them passing as the product changes Build the data pipelines behind the vertical with data and engineering colleagues: price inputs, freight and regas assumptions, vessel and terminal data, route onboarding and automated data quality checks Ship to production with engineering through our normal process (pull requests, code review, tests, CI), and hold the bar on scale, security and reliability Owning the LNG vertical (~25% of role) Own the LNG vertical end to end: what we build, how well it works and how it performs commercially Set and sequence the LNG roadmap with product and technology, so clients get something useful early and more every few weeks Write the rules: the LNG conventions, definitions and desk judgement that every Sparta product and agent follows Lead the people working on LNG across product, engineering and data: set priorities, unblock them and raise the bar on quality Be the person the business comes to for any LNG decision Building a product clients pay for (~20% of role) Lead discovery conversations and technical demos with LNG trading desks, analysts and commercial teams, and use what they tell you to decide what to build next Work with sales and account management on the first LNG deals and on adding LNG to existing oil and freight accounts: you bring the market credibility and the product, sales runs the commercial process Give sales a clear account of what the product does and why a desk would pay for it, so they can sell it without you in the room Represent Sparta at industry events, conferences and client visits as the LNG expert What we're looking for Required Deep LNG market expertise: strong working knowledge of global LNG pricing (JKM, TTF, Henry Hub and the relationships between them), netbacks and delivered economics, shipping and regasification costs, cargo arbitrage between basins and contract structures A track record of building, not just specifying: tools, models, pipelines or products

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