About

Gaurav Shah is an experienced Executive Director with over 15 years of experience in the FinTech industry. He is a problem solver who enjoys working on complex issues and providing simple technical solutions. Gaurav has a diverse background in low latency and high throughput systems, including experience with highly scalable distributed systems such as Hadoop, Spark, CosmosDb, and Cassandra. Currently, Gaurav is an Executive Director at Morgan Stanley, where he specializes in Core Java technologies for the FinTech domain. He has led several projects in algorithmic trading, smart order routing, derivatives, and indices. Additionally, he has expertise in distributed computing for analytics of financial data. Before joining Morgan Stanley, Gaurav worked with Edelweiss Global Markets/Treasury as the head of their Java technology team. In this role, he oversaw a variety of algorithmic trading strategies and execution strategies. Prior to Edelweiss, he held various technology positions at MSCI, Nomura, and Knight. Gaurav has a Master's degree in Information Networking from Carnegie Mellon University and a Bachelor's degree in Computer Engineering from the University of Mumbai. He is skilled in a wide range of technologies, including Big Data, Java, Spark, Hadoop, Cassandra, Kubernetes, Docker, Spring, AWS, Python, NoSQL, MongoDB, and Apache Hive. In summary, Gaurav Shah is an accomplished Executive Director with a wealth of experience in the FinTech industry. He has a proven track record of leading successful projects in algorithmic trading, smart order routing, and distributed computing for analytics of financial data. Gaurav's expertise in Core Java technologies and his proficiency in a wide range of relevant technologies make him a valuable asset to any organization.