Kapil Gogia, Cfa, Frm, C AI A
About Kapil Gogia, Cfa, Frm, C AI A
Kapil Gogia is a Quantitative Research Analyst at the US Securities and Exchange Commission, where he has worked since 2012. He has a diverse background in engineering and finance, with experience at several prominent companies and advanced degrees from prestigious institutions.
Current Role at U.S. Securities and Exchange Commission
Kapil Gogia serves as a Quantitative Research Analyst at the U.S. Securities and Exchange Commission (SEC) since 2012. In this role, he utilizes the Market Information and Data Analytics System (MIDAS) to address policy issues related to U.S. equity market micro-structure and high-frequency trading. His work involves providing strategic recommendations on critical market infrastructure and policy enforcement within the Division of Trading and Markets' Office of Analytics and Research.
Previous Experience in Quantitative Research
Prior to his current position, Gogia gained experience as a Quantitative Research Analyst Intern at Thomson Reuters in 2011 for three months in the San Francisco Bay Area. He also worked as a Principal Consultant at Qualcomm from 2006 to 2007 and held various engineering roles at Cisco Systems, Intel, ARM, and Mentor Graphics, contributing to his extensive background in quantitative analysis and engineering.
Educational Background and Qualifications
Gogia holds a Bachelor of Engineering (BEng) in Electronics & Communications from the Indian Institute of Technology, Roorkee, where he studied from 1991 to 1995. He furthered his education by obtaining an MBA with Distinction in Finance from Carnegie Mellon University's Tepper School of Business from 2007 to 2010. Additionally, he earned a Master of Financial Engineering from UCLA Anderson School of Management in 2011.
Technical Expertise and Skills
Kapil Gogia possesses expertise in analyzing complex real-time market events using quantitative methods. His technical background includes semiconductor engineering experience in the design and verification of microprocessors, memories, networking, and communication ASICs and FPGAs. This skill set supports his analytical work in financial markets and policy recommendations.
Early Education and Foundation
Gogia completed his high school education at Hans Raj Model School in New Delhi from 1985 to 1991. This foundational education set the stage for his subsequent studies in engineering and business, leading to his current expertise in quantitative analysis and market research.