Richard Norris
About Richard Norris
Richard Norris is the Director of Analytics at PRA Group, where he has worked since 2017. He holds a Ph.D. in Physics from UCL and has extensive experience in investment banking and quantitative analytics.
Current Role at PRA Group
Richard Norris serves as the Director of Analytics at PRA Group, a position he has held since 2017. In this role, he oversees analytics operations and contributes to strategic decision-making processes. His tenure at PRA Group has been marked by a focus on quantitative analysis and research, leveraging his extensive background in physics and finance.
Previous Experience at PRA Group
Prior to his current role, Richard Norris worked at PRA Group as the Manager of Quantitative Analytics and Research from 2014 to 2017. During this time, he developed analytical models and methodologies that supported the company's financial strategies. His work contributed to enhancing the firm's analytical capabilities.
Education and Expertise
Richard Norris holds a Doctor of Philosophy (Ph.D.) in Physics from University College London, where he studied from 1999 to 2003. He also earned a Master of Science (MSc) in Physics from Imperial College London, completing his studies there from 1995 to 1999. His educational background includes a focus on Astrophysics and Nuclear Physics, which supports his analytical skills in finance.
Experience in Investment Banking
Richard Norris has accumulated 13 years of experience in investment banking. He worked at Pamplona Capital Management as a Senior Analyst from 2005 to 2011 and again from 2011 to 2014. His responsibilities included modeling various asset classes such as Funds, Structured Products, and illiquid Debt, which provided him with a solid foundation in financial analysis.
Early Career as Research Scientist
Before entering the finance sector, Richard Norris worked as a Research Scientist at AWE from 2003 to 2005. In this role, he applied his physics knowledge to research initiatives, contributing to advancements in scientific understanding and methodologies.