Welcome!
I’m a finance researcher specialized in empirical finance and causal inference. Currently, I work as Senior Research Analyst at S&P Dow Jones Indices where I provide research on global index strategies across all asset classes, and I’m responsible for the conceptualization, design and back-test of new index products. I researched my PhD (in Finance) at the Stockholm School of Economics and graduated in September 2020 with a dissertation in empirical corporate finance.
My research interests lie in empirical corporate finance in a broad sense, and I enjoy working with new datasets to answer interesting questions that are policy-relevant. I also have an interest in causal inference, machine learning applied to economics and finance and data science, and extensive experience in working with large financial datasets, Python programming (main libraries: Pandas, NumPy, Scikit-Learn), STATA and Latex.
PhD in Finance, 2020
Stockholm School of Economics
MSc in Finance, 2012
Bocconi University
BSc Economics and Finance, 2009
University of Bologna
S&P Dow Jones Indices Senior Research Analyst, Global Research & Design, London (2020-Present)
Stockholm School of Economics
KPMG Advisory Spa Financial Risk Management Consultant, Milan (2013-2014)
Mediobanca Spa Capital Market Division Intern, Milan (2011)