Xiaoming Shi

Quantitative Software Engineer(vice President) @ Two Sigma

About Xiaoming Shi

Xiaoming Shi is a Quantitative Software Engineer and Vice President at Two Sigma, where he has worked since 2016. He has a background in computer science from Zhejiang University and the University of Wisconsin-Madison, along with experience at companies such as Microsoft, Alibaba Cloud, and the National University of Singapore.

Current Role at Two Sigma

Xiaoming Shi serves as a Quantitative Software Engineer at Two Sigma, holding the title of Vice President. He has been with the company since 2016, contributing to various projects and initiatives in the financial technology sector. His role involves developing quantitative models and software solutions that enhance the firm's trading strategies. Based in New York, he has played a significant part in the firm's technological advancements.

Previous Experience at Two Sigma

Prior to his current position, Xiaoming Shi worked at Two Sigma as a Software Engineer from 2012 to 2016. During this four-year tenure in New York, he focused on software development and contributed to the optimization of trading algorithms. His experience at Two Sigma laid the foundation for his advancement to a leadership role within the organization.

Internship Experience

Xiaoming Shi has a diverse internship background. He interned at Alibaba Cloud Computing Company in 2010 for three months, where he gained experience in cloud computing technologies. Additionally, he worked as a Research Intern at the National University of Singapore from 2009 to 2010 for eight months, contributing to various research projects. In 2011, he completed a three-month internship as a Software Development Engineer at Microsoft, further enhancing his software engineering skills.

Educational Background

Xiaoming Shi studied Computer Science at Zhejiang University, where he earned his Bachelor of Science degree from 2006 to 2010. He furthered his education at the University of Wisconsin-Madison, studying Computer Sciences as a graduate student from 2010 to 2012. This academic background provided him with a solid foundation in software development and quantitative analysis.

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