Raju is an experienced academic, researcher and consultant with research background in finance, economics, statistics, mathematics, computer science and engineering. Raju’s main research objective is bridging the gap between computer science and social science by developing computational techniques and software tools and brining more scientific approach to economics and finance. Raju’s research focus is on 1) understanding the market microstructure, the associated liquidity risk in high frequency financial markets, 2) democratising financial access/advice and designing frictionless financial markets using FinTech, 3) developing algorithms for big data analysis in finance and 4) applications of AI/Machine Learning in business analytics. On practical side, Raju is interested in developing software tools for 1) algorithmic trading, 2) risk monitoring and 3) automation in financial world.
Raju is a Reader in Financial Technologies in the Department of Computing, Goldsmiths, University of London. Before joining University of London, Raju was Assistant Professor in Finance at University of Southampton. Previously, he worked for Deutsche Bank, London as FX strategy researcher and for AlixPartners as consultant in competition economics.
Quantitative and Computational Finance
Big Data and Analytics