Lei Zhang
About Lei Zhang
Lei Zhang is a Quantitative Developer and Data Scientist with extensive experience in developing quantitative research platforms and trading systems for equities. He has a strong background in financial time-series modeling, machine learning, and cloud-based services.
Current Role at Alpha Vertex Inc.
Lei Zhang has been serving as a Quantitative Developer and Data Scientist at Alpha Vertex Inc. since 2017. In this role, he focuses on developing quantitative research platforms and trading systems tailored for equities. His work involves leveraging advanced data analysis techniques and machine learning to enhance trading strategies and decision-making processes.
Previous Experience in Financial Services
Prior to his current position, Lei Zhang held various roles in the financial services sector. He worked as a Strategic Trader at Shenwan Hongyuan Securities Co., Ltd. from 2013 to 2015 and as an Institutional Client Manager at the same firm from 2011 to 2013. He also gained experience as a Quantitative Model Validation Analyst at Valley National Bank for six months in 2016 and as a Data Engineer at Community Informatics, Inc. for three months in 2016.
Internship Experience
Lei Zhang completed an internship as an Institutional Sales Assistant at SWS Research Shanghai from 2010 to 2011. This role provided him with foundational experience in the financial industry, contributing to his understanding of institutional sales and client management.
Education and Expertise
Lei Zhang holds two Master of Science (M.S.) degrees. He studied at Fudan University from 2007 to 2011 and later at Rutgers University-New Brunswick from 2015 to 2017. His academic background equips him with expertise in financial time-series modeling and machine learning, which he applies in his current and previous roles.
Technical Skills and Knowledge
Lei Zhang possesses hands-on experience with cloud-based services and distributed infrastructures. His technical skills are integral to his work in quantitative development and data science, enabling him to build robust trading systems and conduct complex data analyses.