IMC is looking for experienced quant researchers to develop high to mid frequency delta one trading strategies and predictive models for the APAC markets. If you're excited about helping to push the boundaries of what we can do with Machine Learning in trading, unlocking the significant edges we have in execution, and collaborating to become the best trading firm worldwide, this may be the role for you.You will be responsible for performing large scale data analysis to derive statistically profitable predictions of market behaviour. These predictions are used to inform all of our trading, and improvements have a high and visible impact across the office. You will also help to shape the direction we take across research and tooling. We have longstanding and significant edges across market access, global reach, Options understanding and low latency. The rapid growth we've already seen in Machine Learning has unlocked these edges, and some of the most interesting and impactful problems are now being tackled.You will work as part of an established and growing research team, collaborating closely with traders, software and hardware developers to find improvements to our models and see them impact our production results. IMC competes and wins as a team, with open idea sharing and collaboration across disciplines, desks and offices.Your Core Responsibilities: Leverage deep learning techniques to improve prediction quality in a trading contextCollaborate with feature engineers and traders, to help ensure the feature set is crafted and used to maximum effectDevelop and improve sampling, weighting, cost, target, hyperparameters and network architecture to suit a range of problems and data presentationsPush the team forward, by keeping abreast of the latest developments in industry and academia, and tackling some of the hardest problems we have in the quant spaceMentor and grow the skills of more junior colleagues in the space, and clearly and simply explain complex conceptsApply understanding of distributed computing, and how to align training hardware and approach to rapidly achieve strong results on very large datasetsYour Skills and Experience: Graduate & Postgraduate study from top universities, majoring in machine learning, statistics, or STEM subjects3+ years experience as a quantitative modeller, with specific experience in the high to mid frequency delta one space. Have a proven track record of developing and improving deep learning models with proven outperformance in productionStrong programming experience in at least one language, and mainstream deep learning framework (TensorFlow, PyTorch or other)Deep understanding of the strengths & weaknesses of CNN, RNN, LSTM and transformersAbout UsIMC 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.#J-18808-Ljbffr