Rafael Schmidt has been working at the BIS since 2007, as a Senior Risk Analyst and Head of Risk Methodology at the Bank’s Risk Management unit and now as the Head of IT in the Monetary and Economic Department.
Before joining the BIS, Mr Schmidt was a researcher and teacher at the London School of Economics and University of Cologne, where he was collaborating on industry projects with Credit Suisse, DaimlerChrysler, and Deutsche Bundesbank. He holds an Habilitation from University of Cologne, a PhD in Statistics from University of Ulm and Diploma in Economics and Mathematics form the same university, and an MSc in Statistics and Stochastics from University of Syracuse, New York.
The Bank for International Settlements (BIS) has recently embarked on a multi-year IT modernization project, driven by the Bank’s ongoing efforts to expand its data and analytics capabilities. The goal is to leverage technologies such as Hadoop, Spark and Kafka to build a new metadata-driven and reactive big data platform. This presentation starts with describing Central Banks’ general interest, use and advances in big data platforms. Thereafter we focus on the objectives, use cases, and technical architecture of the big data and advanced analytics platform at the BIS.