Navneet Garg
About Navneet Garg
Navneet Garg is a Senior Associate in Product Operations at Cashfree Payments, where he has worked since 2022. He holds a Bachelor of Technology in Mechanical Engineering from PEC University of Technology and has experience in trading and supply chain operations.
Work at Cashfree Payments
Navneet Garg holds the position of Senior Associate in Product Operations at Cashfree Payments, a role he has occupied since 2022. Based in Bengaluru, Karnataka, India, he is responsible for managing payment issues at the bank level, which contributes to ensuring a smooth transaction experience for merchants. His work involves overseeing automated trading systems and market-sensitive algorithms across various product types, demonstrating his expertise in the financial technology sector.
Education and Expertise
Navneet Garg earned his Bachelor of Technology (BTech) in Mechanical Engineering from PEC University of Technology, Chandigarh, where he studied from 2016 to 2020. Prior to this, he completed his education at Delhi Public School, Bokaro Steel City, from 2005 to 2015. His academic background provides a foundation for his analytical skills, particularly in market analysis and portfolio management.
Background
Before joining Cashfree Payments, Navneet Garg worked as a Supply Chain Operations Specialist at Dr. Oetker for six months in 2019. He also served as a Derivatives Trader at Futures First from 2020 to 2022, where he focused on trading various volatility instruments, including outrights, spreads, flies, and condors. His experience spans multiple roles in operations and trading, contributing to his comprehensive understanding of financial markets.
Achievements
Navneet Garg has developed significant expertise in managing payment issues and enhancing merchant transaction experiences. His background includes a focus on market analysis, particularly in the US and European grains markets, which has equipped him with skills in portfolio management. His work with automated trading systems and market-sensitive algorithms showcases his ability to navigate complex financial environments.