Ziqing Li
About Ziqing Li
Ziqing Li is an Algo Model Risk Quantitative Analyst currently working at 瑞银集团 in Shanghai, China. He has previous experience as an ABS Analyst Intern at Shenwan Hongyuan Securities, a Data Scientist at the Bank for International Settlements, and a Financial Analyst Intern at Amazon.
Current Role at UBS
Ziqing Li serves as an Algo Model Risk Quantitative Analyst at UBS, a position held since 2021. In this role, Li focuses on the development and validation of quantitative models used for risk assessment. The work involves analyzing complex data sets and ensuring the accuracy and reliability of models that inform financial decision-making. Li's expertise contributes to the firm's ability to manage risk effectively in a dynamic financial environment.
Previous Experience in Finance
Prior to joining UBS, Ziqing Li gained valuable experience in the finance sector through various internships. Li worked as a Financial Analyst Intern at Amazon in 2018 for four months in Beijing, where responsibilities included financial analysis and reporting. In 2019, Li interned at Shenwan Hongyuan Securities (HK) Ltd as an ABS Analyst for two months in Beijing, focusing on asset-backed securities. Additionally, Li served as a Data Scientist at the Bank for International Settlements (BIS) in 2020 for ten months in Basel, Switzerland, where data analysis played a critical role in financial stability.
Education and Expertise
Ziqing Li holds a Bachelor of Science degree in Mathematical Application in Economics and Finance from the University of Toronto, completed from 2015 to 2018. Following this, Li pursued a Master's degree in Industrial Engineering at NYU Tandon School of Engineering, graduating in 2020. This educational background provides a strong foundation in quantitative analysis, financial modeling, and engineering principles, which are essential for Li's current role in risk management.
Internship Experience
Ziqing Li has completed several internships that enhanced skills in quantitative analysis and financial modeling. The internship at Amazon as a Financial Analyst Intern involved analyzing financial data and supporting decision-making processes. The role at Shenwan Hongyuan Securities as an ABS Analyst Intern provided exposure to asset-backed securities, while the position at the Bank for International Settlements as a Data Scientist focused on data-driven insights for financial stability. These experiences contributed to Li's professional development in the finance industry.