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:
šConduct large-scale data analysis to generate statistically robust predictions of market behavior, which guide all trading decisions and drive high-impact improvements across global offices. šWork as part of an established and expanding research team, collaborating closely with traders, software and hardware developers globally to enhance our models and drive measurable improvements in production performance. šContribute to defining the strategic direction of research and tooling initiatives. šLeverage creativity and expertise to quickly produce high-quality, testable ideas. šApply a disciplined and systematic approach to ensure results are robust and thoroughly validated. šBuild a deep understanding of market dynamics and potential optimization areas, working closely with operational traders to implement improvements.
Your Skills and Experience:
šGraduate & Postgraduate studies from a leading University; majoring in Machine Learning, Statistics, or STEM related subjects. š3+ yearsā experience as a Quantitative Researcher, with specific experience in the high to mid-frequency delta one space, ideally within Equities markets. šA proven track record of developing value-adding and orthogonal features across multiple families. šPractical experience extracting value from a range of sources (both public feed and alternative data). šStrong programming skills in at least one language (python preferred). šSolid understanding of statistics.
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