Panayiota (Nayia) Constantinou
About Panayiota (Nayia) Constantinou
Panayiota (Nayia) Constantinou is a Risk Modelling and Analytics Specialist at UBS, where she has worked since 2020. She holds a Ph.D. in Statistics from the University of Cambridge and has previously held academic positions at the University of Warwick and the University of Bristol.
Current Role at UBS
Panayiota Constantinou serves as a Risk Modelling and Analytics Specialist at UBS. She has held this position since 2020. In her role, she focuses on developing and implementing risk models and analytics strategies to enhance the firm's risk management capabilities. Her expertise in statistical analysis and risk assessment contributes to the overall effectiveness of UBS's risk management framework.
Previous Experience in Academia
Prior to her current role, Panayiota Constantinou worked in various academic positions. She was a Senior Teaching Fellow at the University of Warwick from 2016 to 2020, where she contributed to the teaching and development of statistical courses. Before that, she served as a Brunel Fellow in Statistics at the University of Bristol from 2013 to 2016, focusing on statistical research and education. Additionally, she worked as a Research Associate at the University of Cambridge for five months in 2013.
Education and Expertise
Panayiota Constantinou holds a Doctor of Philosophy (Ph.D.) in Statistics from the University of Cambridge. She also earned a Master's Degree in Statistics from the same institution. Her educational background provides a strong foundation for her work in risk modelling and analytics, equipping her with advanced statistical techniques and methodologies.
Academic Contributions
Throughout her academic career, Panayiota Constantinou has contributed to the field of statistics through teaching and research. Her roles at the University of Warwick and the University of Bristol involved mentoring students and developing curriculum in statistical methodologies. Her experience as a Research Associate at the University of Cambridge further enhanced her research capabilities in the domain of statistics.