Project Consultants

Torben G. Andersen is the Nathan S. and Mary P. Sharp Professor of Finance at the Kellogg School of Management. He joined the faculty in 1991 and he is a Faculty Research Associate of the National Bureau of Economic Research (NBER), an International Associate of the Center for Research in Energy: Economics and Markets (CoRE) in Aarhus, Denmark, and Research Fellow at the Canadian Derivatives Institute (CDI), Montreal, Canada. In addition, Professor Andersen was elected Fellow of the Econometric Society in 2008, and Fellow of the Society for Financial Econometrics, SoFiE, in 2013, Fellow of the Society for Economic Measurement (SEM) in 2018, Fellow of the International Association for Applied Econometrics (IAAE) in 2020, and Fellow of the Journal of Econometrics in 2021. He served as Chair of the Finance Department for the period 2015-2017. He is currently the President-Elect for the Society of Financial Econometrics (SoFiE), with the Presidential term to start in June 2025.

Stephen John Taylor is an emeritus professor of Finance at Lancaster University Management School, an authority on stochastic volatility models and option prices, a researcher in the areas of financial econometrics and mathematical finance, and an author who has published academic books and influential learned papers in Mathematical Finance, the Journal of Financial and Quantitative Analysis, the Journal of Econometrics and several other academic journals

Marc Steinbach studied Mathematics and Physics at the University of Bonn where he obtained a Diploma in Mathematics. After doing project research at the University of Augsburg and the Technical University of Munich in the areas of trajectory optimization for industrial robots and airplanes, he finished his doctoral studies at the University of Heidelberg with a PhD in Mathematics. Then he moved to Zuse Institute Berlin (ZIB) as a postdoctoral researcher and started working on stochastic optimization and optimization in gas and water networks. He also taught at the Technical University of Berlin after obtaining the Habilitation degree there. As a guest professor at University of Applied Sciences of Vorarlberg, he worked in Austria before accepting a permanent position as Professor of Algorithmic Optimization at Leibniz Universität Hannover.

Diogo Malato Moura is a seasoned financial executive with more than two decades of experience in banking and asset management. He is currently Head of Global Markets Portugal at BNP Paribas Corporate and Institutional Banking, where he is also a member of the Executive Committee that oversees operations in Portugal. Diogo has held several senior leadership positions at BNP Paribas in Paris and Lisbon, including Global Head of Product and Business Development, Head of Market Risk / Head of Research and Development, Manager of Performance and risk analysis. He has in-depth experience in market risk, performance analysis and ESG analysis. He holds a Master's degree in Finance from ISCTE Business School and London Business School.

Pedro Júdice is a director at Montepio Bank in Lisbon and an integrated researcher at ISCTE Business Research Unit. He started his banking career in 2003 as a quantitative research associate at JPMorgan Chase in London, and in 2006 he joined Montepio Bank as a director. Since then, he has held several different roles at this bank, including market risk, non-core asset sales, strategic planning, asset-liability management, financial sector research, and ESG risk. Pedro has a Ph.D. from the Courant Institute of Mathematical Sciences (New York University, 2003) and was a postdoctoral research associate at the University of Chicago Booth School of Business (2011-2012). He was an invited assistant professor at ISCTE Business School in Lisbon (2010-2012), a Visiting Professor (February 2022-April 2022) and an Associate Graduate Faculty Member (2022-2025) at Western Michigan University. He also served as a regional co-director for the Global Association of Risk Professionals (2008-2012). He is a co-author of the book “Scalar and Vector Risk in the General Framework of Portfolio Theory” (Springer Verlag) and several scientific articles, namely in the Journal of Banking and Finance and Expert Systems with Applications.

Mónica Martinho is a Model Developer at Caixa Geral de Depósitos, Portugal’s leading bank.
She specializes in designing and implementing quantitative models to support financial decision-making and risk assessment. She develops and monitors models for credit scoring, rating, and non-financial risk models (reputational, operational, real estate).
She is also a seasoned Risk Manager with expertise in credit risk modeling, regulatory reporting, and data analytics. Mónica has a master's degree in Quantitative Methods in Finance from the University of Coimbra (2015) and was a Researcher Phd Candidate at Centro de Matemática Aplicada a Decisão Económica (CEMAPRE) between 2016 and 2021.