Alvaro Ortiz
Alvaro Ortiz
Head of Analysis with Big Data

Álvaro Ortiz is the Head of Analysis with Big Data at BBVA Research. He manages the unit implementing the Big Data analysis for Economic, Social and Geopolitical Issues. He previously held several positions at BBVA Research including Chief Economist Turkey and Cross Emerging Market Chief Economist. He previously worked as Chief Economist Europe, Asia and Middle East at Cemex, Deputy Director of Economic Analysis at Repsol YPF and Head of Latin America at the Economic Research department of Banco Santander. He holds a PhD in Economics (Universidad Autonoma de Madrid) and Advanced Diploma in International Economics and Policy Research (The Kiel Institute for World Economics in Germany). He took several courses at CEMFI and hold Data Science Professional Certificates from HarvardX (R) and IBM (Python).

He has published in several academic journals as CEPR Discussion Papers, Cambridge Economics WP, Economia the Journal of Lacea, Bank of Spain Working Papers, Opec Energy Review, The Service Studies Journal and Moneda y Crédito. He has collaborated in some international Newspapers as The Economist, Financial Times and relevant local newspapers as El País, Expansion, El Economista…

He has presented his works or participated as panelists at the European Central Bank, Bank of England, Federal Reserve Board, Bank of Spain, NBER Summer Institute, OECD and IMF. Mr Ortiz has participated as Panelists or Speaker in events organized by different Think Tanks as The IIF, The Atlantic Forum, Bruegel, Wilton Park, Salzburg Global Seminar, ME Days; Istanbul Financial Summit, ECFR.

Latest publications

The BBVA Research geopolitical monitor gathers real-time geopolitical indicators constructed from news processed with NLP, which allow for monitoring the media reaction to geopolitical and social events. This note has been published in the European Money and Finance Forum (SUERF).
Presentation given at the "Economic Predicitions with Big Data" event organized by FUNCAS. In this presentation we discuss the use of natural language processing and large language models for economic and social analysis.
Presentation for the Conference on Real-Time Data Analysis, Methods, and Applications hosted by Bank of Spain. We apply National accounting principles to obtain real-time, high-frequency Big Data consumption indicators with many applications.