Douglas Araujo

Douglas Araujo BIS
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Summary

The future of central banking is here, and it’s powered by machine learning. Discover how ML is being used to improve the efficiency and effectiveness of central bank operations.
This event will provide insight into the diversity and maturity of ML approaches already developed and used by central banks. You will learn:

  • How they can help gather more and better information.
  • How they can make sense of the wealth of data available.
  • How they cope with the often exponential growth of data and associated complexity of statistical analysis. 

Here is the link where you will find a PDF file for more information and a comprehensive summary of the event: Machine learning in central banking. 10. Nov 2022

Presenters

  • Douglas Kiarelly Godoy de Araujo joined the BIS in September 2018, where he has been an economist since May 2022. Previously, Douglas was in the Secretariat of the Basel Committee on Banking Supervision overseeing a range of policy and supervisory topics. Before that, he worked at the Central Bank of Brazil on macroprudential supervision (2011-15) and led the efforts to develop and implement the Brazilian proportionality framework for prudential regulation (2015-18). Douglas worked on financial stability monitoring as a Fellow at the BIS’s Financial Stability Institute in 2014. From 2015 to 2018, he also supported a number of countries in enhancing their macroprudential frameworks as a member of International Monetary Fund missions. Until 2011, Douglas worked in the private sector in Brazilian financial markets. His current research focuses on banking and the effects of digitisation on finance. Douglas also contributes open source software at the intersection of machine learning and economics. 

moderated by Ioannis Akkizidis.

Agenda

18:15 Doors open – name tag collection
18:30 Welcome and introduction (Ioannis Akkizidis)
18:35 Machine learning in central banking (Douglas Kiarelly)
19:15  Q&A (all)
19:30 Networking drinks (all)
20:30 end

Chapter Event

In our chapter events – access for members only – we present one or more speakers to share knowledge, updates and best practices on a specific risk topic. In small groups of risk professionals you can exchange thoughts and test ideas. More on SRA chapters. This event is hosted by the chapter Regulatory Developments and Digital Age.

  • Regulatory Transformation: Machine learning in central banking
     26. June 2023
     18:30 - 20:30

Venue:  

Address:
University Zurich, Rämistrasse 71, 2nd floor, KOL-G-217, 8006 Zürich, Switzerland

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