Oded Luria is a senior data scientist at Citi, working at the Technology Innovation Center in Tel Aviv. He applies Deep Learning to financial datasets to build models for different business units in Citi. Before joining Citi he worked as a senior quantitative researcher for a large hedge fund and before that as an algorithm engineer in the field of biomedical signal processing. Oded holds a PhD in Biomedical Engineering from Tel Aviv University.
Practical Aspects of Applying Deep Learning for Market Making
Deep Learning has been shown to outperform traditional methods in many learning tasks such as image and voice recognition, but its role in processing financial datasets is yet to be fully discovered. In this talk, Oded shares practical insights about applying Deep Learning for different aspects of market making and discusses some of the unique challenges and tradeoffs of this field.