Giancarlo Nino
About Giancarlo Nino
Giancarlo Nino is an Associate Director and Risk Modeling & Analytics Specialist at UBS, where he has worked since 2021. He has a strong background in mathematics and analytics, with previous roles at various academic and research institutions, and has developed quantitative models for financial crime detection.
Current Role at UBS
Giancarlo Nino currently serves as Associate Director, Risk Modeling & Analytics Specialist at UBS. He has held this position since 2021, contributing to the firm's risk modeling and analytics efforts in Zurich, Switzerland. His role involves developing quantitative models, particularly focusing on financial crime detection, which is critical for maintaining the integrity of financial operations.
Previous Experience at UBS
Before his current role, Giancarlo Nino worked at UBS as a Risk Modeling & Analytics Specialist from 2020 to 2021. During this year-long tenure in Zurich, he gained valuable experience in risk assessment and analytics, enhancing his expertise in the financial sector.
Education and Expertise
Giancarlo Nino has a robust educational background in mathematics and analytics. He earned a PhD in Mathematics from GSSI - Gran Sasso Science Institute, where he studied from 2014 to 2018. He also holds a Laurea Magistrale in Matematica from Università degli Studi della Basilicata. Additionally, he has completed various specialized courses at DataCamp.com, including Data Scientist with Python Track and Credit Risk Modeling in Python.
Research and Academic Roles
Giancarlo Nino has held several research positions, including a Postdoctoral Research Fellow at the University of Geneva in 2019 and various visiting research fellowships at institutions such as Dalhousie University and Georgia Institute of Technology. His research roles spanned from 2014 to 2018 and involved significant contributions to mathematical modeling and analytics.
Skills and Specializations
Giancarlo Nino possesses effective communication skills, particularly in conveying complex analytical topics. He has a strong passion for utilizing analytical tools to address intricate problems, which is evident in his work on quantitative models for financial crime detection at UBS. His expertise encompasses various aspects of risk modeling and data analysis.