About the company
IMC is a leading trading firm, known worldwide for our advanced, low-latency technology and world-class execution capabilities. Over the past 30 years, weāve been a stabilizing force in the financial markets ā providing the essential liquidity our counterparties depend on. Across offices in the US, Europe, and Asia Pacific, our talented employees are united by our entrepreneurial spirit, exceptional culture, and commitment to giving back. It's a strong foundation that allows us to grow and add new capabilities, year after year. From entering dynamic new markets, to developing a state-of-the-art research environment and diversifying our trading strategies, we dare to imagine what could be and work together to make it happen.
Job Summary
Your Core Responsibilities:
šCombine creativity and experience to rapidly generate high quality, testable ideas, in global commodity markets. šUse a rigorous and structured process to ensure your results are reliable and well tested. šDevelop strategies based on ideas and signals. Work closely with the team on production level. šDevelop and maintain data models, dashboards, research tools and other analytic platforms. šSystematically monitor commodity data and information, including supply/demand trends, inventory levels, physical premium, shipping flows, policy changes, price/volume-related, and other market-moving factors. šLeverage ideas and skills from related fields, including other asset classes, finance and investment academic, algorithmic research, public conferences and workshops etc.
Your Skills and Experience:
šBachelorās or masterās degree in economics, Finance, Engineering, Data Science, Mathematics, CS, or a related quantitative field. šStrong understanding of commodity markets and factors. š3+ years of experience in a commodities-focused QR role (buy-side, sell-side, or trading house). šStrong programming skills in Python, with knowledge on database a benefit. šSignificant practical experience with at least one mainstream ML approach. šFluent in English and Chinese.
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