We are seeking an LNG Trading Analyst to support our growing team and contribute innovative insights to enhance our LNG trading strategies. In this role, you will analyze global LNG market trends, provide critical data forecasts, and assist in strategic decision-making to drive business success. With a focus on collaboration and growth, this role offers a dynamic opportunity for an adaptable, motivated professional to shape the future of LNG trading while advancing their career in the energy sector.
Job Responsibilities:
- Conduct comprehensive research on the global LNG market, analyzing supply and demand dynamics, price trends, policy impacts, and industry developments.
- Monitor key market data such as major producing and receiving countries, shipping capacity, and benchmark price movements (e.g., JKM, TTF, Henry Hub).
- Develop analytical models to forecast market trends, providing strategic support for trading and procurement decisions.
- Prepare and present clear, structured reports to key stakeholders and executives (primarily in Mandarin).
- Draft high-quality research reports, participate in internal strategy discussions, and contribute to building a knowledge repository.
- Establish and maintain collaborative communication channels with external research institutions and industry stakeholders to stay updated on market trends.
- Depending on business needs, the role may evolve to include trading responsibilities.
Qualifications & Requirements:
- Bachelor’s degree or higher in Energy, Economics, Finance, Engineering, or related fields.
- At least 2 years of experience in commodity research or data analysis; experience in trading support is a plus. Prior experience in oil, gas, or energy-related industries is preferred.
- Good understanding of global energy market structures, with the ability to analyze and interpret market conditions in the context of China’s policies and demand characteristics.
- Fluent in Chinese (Mandarin) for effective communication with the team, with strong proficiency in written and spoken English.
- Solid data analysis skills, with proficiency in tools such as Excel, Python, and Power BI.
- Strong logical thinking, quick learning abilities, resilience under pressure, and the capacity to adapt to a fast-paced work environment.
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