Commodities Analyst – China

IMC

Hong Kong

On-site

HKD 600,000 - 800,000

Full time

14 days+

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Job summary

IMC is seeking a Commodities Analyst to bridge market intelligence and trading in Hong Kong. You will deliver real-time insights, conduct fundamental analysis across oil, LNG, metals, and coal, and develop models with Python and SQL to inform trading decisions.

You will work closely with traders, researchers, and technologists, tracking macro trends, policy shifts, and supply/demand dynamics to identify risk and opportunity in fast-moving markets.

Qualifications

  • 3+ years of experience in a commodities-focused analytical role across buy-side, sell-side, consulting, or trading environments.
  • Bachelor’s or Master’s degree in Economics, Finance, Engineering, Data Science, or related quantitative field.
  • Strong understanding of Chinese commodity markets, value chains, and macro factors.
  • Proficiency in Python and SQL for data handling, modelling, and visualization.
  • Fluent in Mandarin Chinese and English, both written and spoken.
  • Experience with Bloomberg or similar market intelligence platforms.

Responsibilities

  • Conduct detailed fundamental, macroeconomic, and geopolitical analysis across Chinese and global commodity markets (oil, LNG, petrochemicals, base metals, coal).
  • Develop understanding of supply/demand dynamics, production economics, trade flows, inventories, and market relationships.
  • Track regulatory developments and government policy relevant to commodity markets.
  • Identify and monitor catalysts and structural developments across traded commodities.
  • Generate trading ideas based on volatility and market direction with traders.
  • Monitor market factors such as supply/demand trends, inventories, shipping, and policy changes.
  • Develop and maintain data models, dashboards, and research tools using Python, SQL, and analytics platforms.

Skills

Commodities analysis
Python
SQL
Bloomberg
Mandarin Chinese
English language

Education

Quantitative degree (Econ/Finance/Engineering/Data Science)

Tools

Bloomberg Terminal
SQL Databases
Data visualization tools

Job description

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.


Your Core 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.


Your Skills and Experience:



  • 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 Us


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.


IMC is an equal opportunity employer. IMC prohibits discrimination of any type and affords equal employment opportunities to applicants without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity and expression, national origin, age, disability, and/or any other categories protected by applicable local law. Completion of this section is voluntary and will not affect your opportunity for employment or the terms or conditions of your employment. If you require adjustments to your working arrangements or the recruitment process, please let us know when applying. The data collected from these questions will be stored separately from your individual application and will be kept confidential.

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