Searcher
Alvaro Ortiz
Alvaro Ortiz
Head of Big Data Research
Madrid

Álvaro Ortiz is the Head of Big Data Research 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

Presentation for the Conference on Non-traditional Data, Machine Learning and Natural Language Processing in Macroeconomics hosted by Sveriges Riksbank and jointly organized with the Federal Reserve Board, the Bank of Italy, and the Bank of Canada.
We provide the first proof of concept that naturally occurring data from millions of financial transactions can be harnessed to estimate national accounts in real time and high definition
This note proposes a path to shore up the measurement of the carbon footprint of the representative household of an economy, enhancing traditional macroeconomic analysis and with the use of Big Data in order to obtain real time outcomes and insights into the impact of the lifestyle of different households.