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Commodities Trader - China
IMC
Sydney, AUS
Full-time
Senior
Onsite
Discovered 3 weeks ago
PythonSQLBloomberg
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Your Core Responsibilities
- Develop, execute, and scale profitable trading strategies across Chinese commodities markets (e.g., energy, precious metals, base metals).
- Trade futures and related derivatives on major Chinese exchanges (SHFE, DCE, ZCE, INE, GFEX) and relevant offshore venues.
- Integrate fundamental research, macroeconomic analysis, and geopolitical developments into trading decisions.
- Partner closely with the Commodities Analyst team to incorporate insights on supply/demand dynamics, inventory trends, shipping flows, regulatory developments, and government policy into actionable strategies.
- Identify and position around upcoming market catalysts, volatility events, and structural dislocations.
- Generate directional and volatility-driven trade ideas based on global and domestic Chinese market intelligence.
- Work alongside quantitative researchers and technologists to refine execution, enhance data-driven decision-making, and scale systematic components of strategies.
- Actively manage risk, including exposure to macro events, liquidity shifts, regulatory changes, and cross-border dynamics.
- Contribute to continuous improvement of research frameworks, dashboards, and trading tools in collaboration with the Analyst and technology teams.
Your Skills and Experience
- Proven track record trading Chinese and/or global commodities futures and derivatives with consistent risk-adjusted returns.
- Strong understanding of Chinese commodity markets, macroeconomic drivers, and geopolitical influences.
- Deep knowledge of Chinese exchange rules, margin frameworks, and regulatory environment.
- Demonstrated ability to translate fundamental and macro analysis into clear trading positioning.
- Experience collaborating with analysts, quantitative researchers, and developers in a data-driven trading environment.
- Strong risk management discipline and ability to trade around event-driven volatility.
- Familiarity with Python, SQL, Bloomberg, or other analytics platforms is advantageous.
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