Peter Dewey
About Peter Dewey
Peter Dewey is a Pricing Analyst at PRA Group in London, specializing in advanced regression techniques and Monte Carlo Simulation models. He has previous experience in revenue analysis at Hilton and risk analysis at Allied Irish Bank, and holds a Master's degree in Physics from the University of Birmingham.
Current Role at PRA Group
Peter Dewey currently holds the position of Pricing Analyst at PRA Group, a role he has occupied since 2020. Based in London, United Kingdom, he focuses on pricing strategies and analysis within the organization. His work involves utilizing advanced statistical techniques to support pricing decisions and enhance financial modeling.
Previous Experience at Hilton
Peter Dewey has held multiple roles at Hilton in Dubai, United Arab Emirates. He served as a Cluster Revenue Analyst for 11 months in 2018, followed by a position as Cluster Assistant Revenue Manager for 7 months in 2019. In these roles, he was responsible for revenue management and analysis, contributing to the financial performance of the hotel cluster.
Education and Expertise
Peter Dewey earned a Master's degree in Physics from the University of Birmingham, where he studied from 2012 to 2016. His academic background provides a strong foundation for his analytical skills. He specializes in advanced regression techniques, including KNN regression, logistic regression, and random forest regression, and focuses on implementing Monte Carlo Simulation models for forecasting.
Experience in Financial Analysis
Prior to his current role, Peter Dewey worked as a Graduate Risk Analyst at Allied Irish Bank (GB) from 2016 to 2018 in Northampton, United Kingdom. He has experience analyzing personal debt, including fresh and aged debt, as well as UK insolvencies such as Individual Voluntary Arrangements (IVAs) and Trust Deeds. He also has limited experience in valuing German insolvencies.
Technical Skills and Tools
Peter Dewey integrates model outputs into PowerBI for dynamic presentations and investment discussions. His technical skills in data analysis and modeling enhance his ability to communicate complex financial insights effectively. He focuses on improving model development through advanced statistical methods.