Bryan Lim is a Quantitative Researcher at Tower Research Capital since October 2022, with extensive experience in quantitative finance and machine learning. Bryan holds an Associate Member position at the Oxford-Man Institute of Quantitative Finance at the University of Oxford, focusing on deep learning research for time series forecasting and decision-making. Prior roles include Research Analyst at Cubist Systematic Strategies specializing in mid-frequency quantitative macro research, Quantitative Researcher at BlueCove Limited, and Student Researcher at Google, where Bryan developed transformer-based deep learning models for forecasting. Earlier positions at Symmetry Investments and Barclays Investment Bank involved quantitative research, backtesting, and development in fixed-income markets and C++ frameworks. Bryan received a DPhil in Machine Learning from the University of Oxford and an MEng (Distinction) & BA (Class I) in Information and Computer Engineering from the University of Cambridge.
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