Presented By
O’Reilly + Cloudera
Make Data Work
29 April–2 May 2019
London, UK

Digital transformation of the trading floor

Jan Novotny (Deutsche Bank)
Location: Capital Suite 13
Average rating: ***..
(3.50, 6 ratings)

Machine Learning and AI are an inevitable part of any workflow, which deals with data. In this talk, I will review several Machine Learning topics, which contributes to the digitalisation of the trading floor and show how the role of quants changes in the Machine Learning era.

Jan Novotny

Deutsche Bank

Jan is an eFX Quant Trader at Deutsche Bank. Before his current role, he was a front office quant at HSBC in the electronic FX markets working. Before joining HSBC team, he was working in the Centre for Econometric Analysis on the high-frequency time series econometric models and was visiting lecturer at Cass Business School, Warwick Business School, Politecnico di Milano and New York University in Prague. He co-authored a number of papers in peer-reviewed journals in Finance and Physics, contributed to several books, and presented at numerous conferences and workshops all over the world. During his PhD studies, he co-founded Quantum Finance CZ. He is a Machine Learning enthusiast and explores kdb+/q for this purpose.