About

Hemang Mandalia is a highly skilled Quantitative Research Director with over 13 years of experience in the field. He is currently in a Non-Compete Period with Qube Research & Technologies, where he was previously the Director of Quantitative Research. Hemang is a hands-on quant researcher, machine learning practitioner, software developer, and team leader. He has a strong background in Alpha Research for Systematic Algo Trading, Artificial Intelligence, Software Development, Databases, Python, C#, and Java. Hemang holds an M.Tech in Computer Science & Engineering (CSE) from the prestigious Indian Institute of Technology, Madras. He began his career as a Software Engineer and Research Scientist and quickly progressed to leadership roles. He spent several years at Credit Suisse, where he was the Vice President leading a team of machine learning and data science professionals for conducting quant research. During this time, he was also an active software developer in these areas. Hemang has an impressive track record of leading research teams in India for the discovery and development of new algorithmic trading strategies on global equities. He is a highly skilled professional with a keen eye for detail and a passion for innovation. Hemang is a data scientist with a strong technical background, making him a valuable asset to any team. In addition to his technical skills, Hemang is an excellent communicator and team player. He has a proven ability to lead and motivate teams to deliver high-quality results. Hemang is a lifelong learner and is always seeking new challenges and opportunities to expand his knowledge and skills. Overall, Hemang Mandalia is a highly skilled and experienced Quantitative Research Director with a passion for innovation and a proven track record of success. His technical expertise, leadership skills, and strong communication abilities make him a valuable asset to any organization.