We are looking for a Commodity Market Analyst Intern to support our trading and research team through AI-assisted market analysis. The intern will help collect, summarize, and analyse commodity market information, including news, research reports, policy updates, supply-demand data, and market sentiment.
Key Responsibilities
- Assist in developing an AI trading agent that retrieves commodity market data, analyzes price movements and research insights to support trading signal generation and decision-making.
- Build a multi-commodity futures K-line database and apply AI-based natural language querying for historical price analysis and market pattern retrieval.
- Assist in building AI-driven market sentiment indicators based on public articles and research views.
- Maintain commodity fundamental databases, including inventory, production, imports, margins, basis, spreads, and price structures.
- Support feature engineering, model training, and backtesting to evaluate machine learning-based trading signals and strategies.
- Use Excel, Python, and AI tools to improve data processing, visualization, and research automation.
- Assist traders in reviewing market moves, identifying key drivers, and organizing trading logic.
Requirements
- You are an undergraduate or graduate student from mathematics, engineering, computer science, or computer engineering. Other majors are also welcomed but coding skill (Python) is required.
- Good analytical, writing, and information-processing skills.
- Familiarity with AI tools such as ChatGPT, Claude, Gemini or similar platforms.
- Responsible, detail-oriented, and willing to learn.
Preferred Qualifications
- Good understanding of Python data analysis, web scraping, or text analysis.
- Interest in AI-driven trading research, sentiment analysis, and automated report generation.
- Experience in commodity research, futures trading, macro research, or quantitative analysis would be a plus.