Commodity Market Analyst Intern

MAJESTIC ROCK RESOURCES GROUP PTE. LTD.; Singapore; On-site; SGD 17,000 - 25,000; Part time

Job summary

MAJESTIC ROCK RESOURCES GROUP PTE. LTD. seeks a Commodity Market Analyst Intern to support AI-assisted market analysis for trading and research. You will collect, summarize, and analyze commodity market information, including news, research, policy updates, and market sentiment.

You will help develop an AI trading agent, build a multi-commodity futures database, and apply AI-based querying for historical price analysis. Strong Python skills and familiarity with AI tools are required.

Qualifications

• Currently pursuing an undergraduate or graduate degree in mathematics, engineering, computer science, or computer engineering; coding (Python) required.
• Strong analytical, writing, and information-processing skills.
• Familiarity with AI tools such as ChatGPT, Claude, Gemini or similar platforms.

Responsibilities

• Assist in collecting, summarizing, and analysing commodity market information.
• Help develop AI-assisted market analysis and an AI trading agent for data retrieval and insights.
• Build a multi-commodity futures database and enable AI-based querying for historical price analysis.
• Maintain commodity databases including inventory, production, and price structures.
• Support model training, backtesting, and automation of market research tasks.
• Utilize Excel and Python to improve data processing and visualization.

Skills

Python

Data analysis

AI tools

Excel

Writing

Education

Undergraduate/Graduate student in mathematics, engineering, CS

Tools

Web scraping

Pandas

Jupyter

Job description

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.