Wassim Jeridi Gharbi
About Wassim Jeridi Gharbi
Wassim Jeridi Gharbi is a Quantitative Researcher with a diverse educational background in physics, mathematics, and computer science. He has worked in the finance sector in London since 2018, including roles at BNP Paribas and the World Bank Group.
Work at Squarepoint Capital
Wassim Jeridi Gharbi has been employed at Squarepoint Capital as a Quantitative Researcher since 2019. In this role, he applies his expertise in quantitative analysis to support the firm's investment strategies. His work involves developing mathematical models and utilizing data analysis techniques to inform decision-making processes within the firm.
Education and Expertise
Wassim Jeridi Gharbi possesses a diverse educational background in physics, mathematics, and computer science. He studied at Paris-Sud University (Paris XI), where he earned a Licence in Physique from 2015 to 2016. He also completed a Diplôme d'ingénieur in Applied Mathematics at CentraleSupélec from 2015 to 2019. Additionally, he obtained a Master of Science from École Normale Supérieure Paris-Saclay in 2019, further enhancing his expertise in quantitative research.
Background in Financial Services
Wassim Jeridi Gharbi has accumulated significant experience in the financial sector since 2018. He worked as a Structuring Long Term Intern at BNP Paribas Corporate and Institutional Banking for six months in London, where he gained insights into financial structuring. His consultancy role at the World Bank Group in 2017 focused on disaster risk financing and modeling, contributing to his comprehensive understanding of financial risk management.
Academic Foundations
Wassim Jeridi Gharbi's academic journey began at Lycée Pilote Bizerte, where he completed his Baccalauréat in Physique théorique et mathématique from 2009 to 2013. He then attended the Institut préparatoire aux études scientifiques de Tunis, studying Mathematics and Computer Science from 2013 to 2015. This foundational education laid the groundwork for his advanced studies in mathematics and computer science at prestigious institutions.