Job Overview
Job description
- Location:
- Hong Kong, Hong Kong; Sydney, Australia
- Work arrangement:
- On-site
Role Summary
Our Analyst team plays a vital role in supporting the trading desk’s decision-making. We are seeking a Commodities Analyst who will bridge the gap between market intelligence and trading. Working closely with traders, quantitative researchers, and technologists, the analyst will deliver real-time insights and conduct in-depth fundamental analysis to inform trading strategies.
By synthesizing data from global markets, domestic Chinese trends, and macroeconomic indicators, the analyst will help identify opportunities, manage risk, and ensure the trading team stays ahead of market movements. This position is essential to enabling fast, accurate, and confident trading in a highly competitive environment.
Responsibilities
- Conduct detailed fundamental, macroeconomic, and geopolitical analysis across Chinese and global commodity markets, with a focus on key markets such as oil, LNG, the petrochemical chain, base metals, and coal.
- Develop a deep understanding of commodity value chains, including supply and demand dynamics, production economics, trade flows, inventories, and the relationships between upstream and downstream markets.
- Track regulatory developments and government policy globally and within China that are relevant to commodity markets and trading.
- Identify, monitor, and evaluate upcoming catalysts and structural developments across the commodity markets we trade.
- Generate trading ideas based on expected volatility and market direction, working closely with the trading team to evaluate and execute strategies.
- Monitor supply and demand trends, inventory levels, shipping and trade flows, policy changes, and other market-moving factors.
- Develop and maintain data models, dashboards, and research tools using Python, SQL, and other analytics platforms.
Requirements
- 3+ years of experience in a commodities-focused analytical role within the buy-side, sell-side, consulting, trading house, or a related environment.
- Bachelor’s or Master’s degree in Economics, Finance, Engineering, Data Science, or a related quantitative field.
- Strong understanding of Chinese commodity markets, commodity value chains, and the macroeconomic factors that influence them.
- Proficiency in Python and SQL for data handling, modelling, and visualisation.
- Familiarity with Bloomberg or other market intelligence platforms.
- Fluent in Mandarin Chinese and English, both written and spoken.
- High attention to detail, strong communication skills, and the ability to work effectively in a fast-paced, collaborative environment.
About the Company
IMC is a research-driven trading firm where quantitative modeling, machine learning, and engineering shape how modern markets are traded. A stabilizing force in markets since 1989, we provide liquidity across trading venues, delivering the best outcome in value and risk management to investors. Using our own technology and capital, we build proprietary systems and algorithms that operate across global markets. Our researchers, traders, and engineers work as a collective, combining rapid experimentation, advanced infrastructure, and real-time feedback to turn insight into execution and execution into advantage.
- Role:
- Commodities Analyst – China
Company profile
IMC
imc.comIMC is a global quantitative trading firm and market maker that provides liquidity wherever markets trade. Founded in 1989 by two traders on the floor of the Amsterdam Equity Options Exchange, it brings together researchers, engineers and traders who build models, high-performance computing systems and deep learning tools that turn large amounts of data into trading strategies across asset classes. IMC runs 9000+ servers across 9 countries and has offices in cities including Chicago, Amsterdam, Sydney, Mumbai, Zug, Seoul, London, New York and Hong Kong.
- Company Size
- 1,000 - 5,000 employees
- Headquarters
- Amsterdam, NetherlandsChicago, Illinois, United States
- Founded
- 1989
- Founders
- Robert Defares, René Schelvis