Luca Sitzia

Luca Sitzia has a diverse work experience in the field of quantitative finance. Luca started their career in 2008, pursuing a PhD in Mathematical Finance from the University of Torino, which they completed in 2011. In 2012, Luca joined UniCredit as a Quantitative Analyst in Financial Risk Methodologies, where they worked until 2017. During their time at UniCredit, they held the role of Team Lead for this department. In 2012, Luca also worked as a Quantitative Analyst for Cerved Group Spa. Additionally, Luca has experience in academia, having worked as a Lecturer of Quantitative Finance at the University of Donja Gorica and as a Teaching Assistant of Stochastic Calculus at Università Bocconi.

Luca Sitzia has a Master of Science (M.Sc.) degree in Applied Mathematics from Politecnico di Torino, which they completed from 2001 to 2007. In 2010, they obtained a Master's degree in Applied Mathematics with a focus on Finance from Université Paris-Est Marne-la-Vallée. Luca also holds a Doctor of Philosophy (PhD) in Mathematical Finance from Università degli Studi di Torino, which they earned from 2008 to 2012. In addition to their formal education, Luca has obtained certifications in "Structuring Machine Learning Projects" from Coursera in 2020 and "Neural Networks and Deep Learning" from Coursera in 2019.