Raymond Joseph
About Raymond Joseph
Raymond Joseph is a Lead Product Manager at FINRA, specializing in market regulation and fraud detection through predictive analytics. He has a diverse background in product management, quantitative analytics, and research, with experience at various organizations including a stealth startup and Barclays Investment Bank.
Current Role at FINRA
Raymond Joseph serves as the Lead Product Manager at FINRA, a position he has held since 2021. He operates within the Market Regulation team, where he focuses on detecting market manipulation and fraud. His work involves utilizing predictive analytics to enhance market integrity and protect investors. This role underscores his commitment to applying advanced technologies in the financial sector.
Previous Experience in Startups and Leadership
Prior to his current role, Raymond co-founded and served as CEO of a Stealth Startup from 2018 to 2020. His leadership experience in this capacity provided him with insights into the startup ecosystem and product development. Additionally, he has been involved with Modguard since 2020, contributing to its growth and development.
Background in Financial Services
Raymond has extensive experience in the financial services industry, having worked at Barclays Investment Bank as Vice President of Quantitative Analytics from 2015 to 2021. His role involved applying quantitative methods to financial analysis. He also served as Chief Financial Officer at 180 Degrees Consulting from 2016 to 2017, further enhancing his expertise in finance and analytics.
Education and Academic Background
Raymond holds a Dual Degree in Electrical Engineering and Computer Science from IIT Madras. He also studied Data Analytics and Electrical Engineering during a Bachelor's Exchange program at Institut national des Sciences appliquées de Lyon. Additionally, he participated in a Research Exchange at Technical University Munich, further broadening his academic credentials.
Research and Technical Expertise
Raymond has a strong foundation in research and technical skills, having worked as a Research Assistant at The University of British Columbia and as a Research Associate at LIRIS. His academic and professional experiences have equipped him with expertise in harnessing AI and machine learning, particularly in the context of financial market integrity and investor protection.