Alexander Denev

Alexander leads AI and Data Science team for Financial Services - Risk Advisory. His responsibilities include development of AI products and advisory around risks and ethical implementation of AI. He also focusses on Alternative Data, AI for Data Quality and AI for Retail Banking.

Alexander is a former Head of Quantitative Research & Advanced Analytics at IHS Markit. Prior to that, Alexander has worked in Risk Dynamics (McKinsey & Company), The Royal Bank of Scotland, European Investment Bank (EIB) and European Investment Fund (EIF), National Bank of Greece and Societe Generale.

Alexander holds a degree in Mathematical Finance from University of Oxford where he is a Visiting Lecturer on Bayesian Risk Management and Alternative Data.

He wrote several papers and books on quantitative topics, ranging from stress testing and scenario analysis to asset allocation through Machine Learning techniques and alternative data.

Alexander has often thought leadership engagements in conferences, journals and global fora.