Kailing Li
About Kailing Li
Kailing Li is a Project and Support Manager at Privé Technologies, where he has worked since 2019. He holds a Master of Science in Applied Mathematics and Scientific Computation from Universität Siegen and a Bachelor of Science in Applied Mathematics from Shandong University.
Work at Privé Technologies
Kailing Li has been employed at Privé Technologies as a Project and Support Manager since 2019. In this role, Li provides technical support for digital portfolio management systems. Responsibilities include conducting data analysis for order management systems and supporting bank reporting processes. Li also focuses on the calculation of asset management performance commissioning and identifies product gaps, summarizing requirements into Jiras.
Education and Expertise
Kailing Li holds a Master of Science in Applied Mathematics and Scientific Computation from Universität Siegen, where studies spanned from 2014 to 2018. Prior to this, Li earned a Bachelor of Science in Applied Mathematics from Shandong University at Weihai, completing the degree from 2009 to 2013. This educational background provides a strong foundation in quantitative analysis and problem-solving skills relevant to the current role.
Background
Before joining Privé Technologies, Kailing Li worked as a Student Assistant at Universität Siegen for four months in 2017. This position allowed Li to gain experience in an academic environment while further developing skills in applied mathematics. The transition from academia to a project management role reflects a commitment to leveraging technical knowledge in practical applications.
Technical Skills and Responsibilities
In the role of Project and Support Manager, Kailing Li is responsible for various technical tasks. These include providing support for digital portfolio management systems and conducting data analysis for order management systems. Li also plays a key role in supporting bank reporting and asset management performance calculations, demonstrating a blend of technical and analytical skills in the financial technology sector.