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, we’ve been a stabilizing force in the financial markets – 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:
📍Conduct hands-on research to design, develop, and apply original machine learning algorithms, with the autonomy to explore and innovate. 📍You will have particular experience in at least one of the following techniques: Deep Neural Networks, Reinforcement Learning, Natural Language Processing (NLP): Time Series Analysis, Anomaly Detection and Pattern Recognition 📍Architect, prototype, and refine predictive models and trading strategies for robustness and scalability in the equities and futures markets. 📍Analyze large, complex datasets to uncover statistically significant patterns and market behavior insights. 📍Communicate research progress and outcomes effectively, ensuring knowledge transfer within the team and across departments. 📍Collaborate closely with a multidisciplinary team to enhance IMC’s machine learning capabilities and trading strategies.
Your Skills and Experience:
đź“ŤCurrently pursuing a PhD (or nearing completion) in Computer Science, Electrical Engineering, Mathematics, Statistics, Physics, or related quantitative fields. đź“ŤDeep understanding of machine learning, probability, and statistics, with practical experience in areas such as time series analysis, pattern recognition, portfolio optimisation, market impact modelling and NLP. đź“ŤProven ability to conduct original research and deliver impactful results. đź“ŤExtensive experience with modern deep learning architectures, with a solid foundation in classic machine learning techniques. đź“ŤStrong programming skills in Python (essential), with additional experience in C++ considered a plus. đź“ŤFamiliarity with analyzing large, unstructured, and heterogeneous datasets. đź“ŤTheoretical and hands-on experience with time series forecasting is a plus.
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