Jing Wen

Jing Wen

Global Markets Quantitative Trading Summer Intern @ UBS

About Jing Wen

Jing Wen is a Global Markets Quantitative Trading Summer Intern at UBS in New York, with a background in economics, applied mathematics, and data science from the University of California, Berkeley and a master's degree in finance from Princeton University.

Work at UBS

Currently, Jing Wen holds the position of Global Markets Quantitative Trading Summer Intern at UBS in New York, United States. This role commenced in 2022 and has a duration of two years. The internship involves engaging in quantitative trading strategies within the global markets sector, contributing to the firm's trading operations and analytics.

Education and Expertise

Jing Wen studied at the University of California, Berkeley, where she earned a Bachelor of Arts degree in Economics, Applied Mathematics, and Data Science from 2017 to 2021. She furthered her education at Princeton University, obtaining a Master's degree in Finance from 2021 to 2023. This educational background equips her with a strong foundation in quantitative analysis and financial principles.

Background

Jing Wen has a diverse background in finance and quantitative analysis. She worked as a Research Assistant at the University of California, Berkeley, Haas School of Business for four months in 2019. Additionally, she served as a Math and Statistics Tutor at the same university from 2018 to 2020, enhancing her analytical skills and teaching experience.

Internship Experience

Jing Wen has accumulated significant internship experience in the finance sector. In 2018, she interned at Avic Securities CO., LTD. for two months. In 2019, she worked as a Summer Intern at First Capital Management Ltd., focusing on investment banking for three months in Beijing, China. In 2020, she interned at CITIC Securities Company Limited in Alternative Investment Management for two months. These roles provided her with practical exposure to various aspects of finance and investment.

People similar to Jing Wen