[27校招] Commodity Analysis Trainee

Job description

Job Purpose and Impact This role partners closely with analytics team, trading team and commercial team to deliver timely decision support in the dynamic & fast-moving market. Beyond strong analytical capability, the role emphasizes judgment under uncertainty, process visibility via iterative updates, and a collaborative, structured, execution-owned, evolving approach. The role will also participate in customer visits and onsite industry research, delivering analysis and support in a multiteam, cross functional working environment. Daily responsibilities include continuous tracking of agricultural market data and industry information, conducting market monitoring, organizing and validating data, maintaining relevant databases, and contributing to supply demand and price analysis. The goal is to translate analysis into insights that support trading decisions and business judgment. Please be notice that this role will requires 2-months internship assessment period. Key Accountabilities 1. Market Data & Industry Information Tracking Continuously collect, track, and explore key data and market intelligence across the agricultural value chain, including inputs from commercial teams, customers, and industry channels Convert industry information into structured data and analytical materials, and cross validate data and market information to ensure accuracy Ensure data is properly stored in local or global databases to support ongoing analysis and trading activities. 2. Fundamental & Trading Analysis Continuously update supply demand data for relevant agricultural products and contribute to fundamental analysis Track domestic and international price movements and participate in price analysis Identify structural market trends and potential risks, and assess the impact of key factors on fundamentals Gradually build a solid understanding of agricultural value chains and market mechanisms, forming analytical frameworks and methodologies for fundamental analysis 3. Research Support & Team Collaboration Maintain close communication with traders and relevant teams, engage in discussions on market developments, and provide analytical input Work closely with the China analytics team on daily research activities and cross project research. Take ownership of assigned research project, ensuring steady progress and the delivery of actionable conclusions Qualifications Minimum Qualifications Demonstrated interest in agricultural commodity markets, driven by curiosity and a genuine motivation to learn. Proven analytical capability, able to make sound judgments in uncertain environments and proactively identify and address problems. A strong data mindset, focused on structuring, validating, and maintaining data assets that enable scalable analysis and future AI enabled use cases. Clear and effective communication skills, capable of articulating complex ideas concisely in both written and verbal formats. Comfort working in a small, highly collaborative team, contributing actively and constructively to shared outcomes. Preferred Qualifications Internship experience or academic background related to agriculture, commodities, or data analysis Familiarity with basic data analysis methods or data processing tools Basic understanding of futures markets or commodity markets