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Machine learning researchers within this group create novel machine learning approaches to financial applications. They utilize their creativity and innovation to help the firm trade profitably in markets around the globe. All types of learning and AI, including in particular deep learning and statistical learning, are potentially relevant.
Specific responsibilities include designing, implementing, testing experimentally and scaling up new models for forecasting asset prices, developing new tradeable signals, and other financial applications.
You will have a track record of being exceptionally creative, hands-on, and involved in high-impact machine learning research and applications. They welcome candidates from both industry and academia, and at various levels of seniority, from Ph.D. students nearing graduation to established researchers. A broad experience across multiple fields of ML is a plus.