Douglas Kiarelly Godoy de Araujo

Former Economist

Douglas Araujo joined the BIS in September 2018. He was adviser for data science in economics from May 2025, after serving as 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. Douglas has a diverse research agenda and contributes open source software at the intersection of machine learning and economics.

All BIS publications (9)

BIS Working Paper No 1291 24 Sep 2025

Harnessing artificial intelligence for monitoring financial markets

Predicting financial market stress has long proven to be a largely elusive goal. Advances in artificial intelligence and…

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Douglas Kiarelly Godoy de Araujo

Former Economist

All BIS publications (9)

Harnessing artificial intelligence for monitoring financial markets

Governance and implementation of artificial intelligence in central banks

Inflation cycles: evidence from international data

Supply chain transmission of climate-related physical risks

Word2Prices: embedding central bank communications for inflation prediction

Synthetic controls with machine learning: application on the effect of labour deregulation on worker productivity in Brazil

Artificial intelligence in central banking

gingado: a machine learning library focused on economics and finance

Loan-to-value policy and housing finance: effects on constrained borrowers

All external publications (11)

Unlocking the potential of data through data science: A view from central banks

Fast payments and banking: Costa Rica's SINPE Móvil

Harnessing artificial intelligence for monitoring financial markets: early warning signals from interpretable machine learning

Central banks' experience in enhancing the access to and sharing of information through data science

The two faces of inflation: classifying high- and low-inflation regimes based on a century of data

Implementation and governance of artificial intelligence in central banks

Data science in economy and finance: a central bank perspective

Word2Prices: Embedding central bank communications for inflation prediction

Open-sourced central bank macroeconomic models

All podcasts (1)

Artificial intelligence in central banking

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