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:
šLeverage deep learning techniques to improve prediction quality in a trading context šCollaborate with feature engineers and traders, to help ensure the feature set is crafted and used to maximum effect šDevelop and improve sampling, weighting, cost, target, hyperparameters and network architecture to suit a range of problems and data presentations šPush 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 space šMentor and grow the skills of more junior colleagues in the space, and clearly and simply explain complex concepts šApply understanding of distributed computing, and how to align training hardware and approach to rapidly achieve strong results on very large datasets
Your Skills and Experience:
šGraduate & Postgraduate study from top universities, majoring in machine learning, statistics, or STEM subjects š3+ 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 production šStrong programming experience in at least one language, and mainstream deep learning framework (TensorFlow, PyTorch or other) šDeep understanding of the strengths & weaknesses of CNN, RNN, LSTM and transformers
If youāre passionate about blockchain and decentralized technologies, explore more opportunities in web3 and cryptocurrency careers.
