LNG Analyst, Northeast Asia

Trading Jobs

Regular

August 4, 2026

Trading and Supply

Forecast LNG Imports & Supply: Model monthly LNG imports by sector (power, industrial, buildings, transport) and include domestic production and pipeline flows (esp. China). · Collaborate & Integrate Models: Work with Shell’s Asia Power Analytics team to streamline existing models and develop new power demand models. · Analyze Market Signals & Contract Terms: Aggregate contractual data for spot/open demand forecasts and continuously monitor news, pricing, shipping flows, and government data for adjustments. · Build Forecasting Tools & Dashboards: Develop and refine models in Excel and DS/ML platforms (e.g., DataIKU) for short-, mid-, and long-term horizons (0–20 years), with clear visualizations. · Deliver Insights & Improve Accuracy: Provide country/regional/global forecasts to traders and strategic teams, benchmark against vendors, back-test models, and enhance predictive analytics working with our data science team. To succeed in this role and within SEIF Global Gas Fundamentals’ performance culture, the LNG Analyst, Northeast Asia will need to express and continue improving on these Core Competencies (6 Cs): · Curiosity: Go beyond surface-level answers to uncover deeper insights; and proactively deepen your knowledge on markets, policy, technology and modelling techniques. · Competitiveness: Strive to outperform industry peers and deliver high-impact analysis. · Courage: Take risks, test new approaches, defend contrarian views, and learn from mistakes. · Communication: Deliver clear, confident and compelling analysis using narratives and storytelling. · Commerciality: Actively synthesize fundamental forecasts and analysis into consequences for market pricing and positioning. - Experience in gas, power, or LNG industry. · Proven capability in energy market fundamentals and demand modeling. · Expertise in data visualization and energy modeling. · Advanced degrees in econometrics, energy economics, international economics, or energy policy. · Strong grasp of statistical modeling and stakeholder communication. · Proficiency in Microsoft Office; experience with DS/ML platforms (e.g., DataIKU) preferred.

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