Xiaochen (Lily) Wang
About Xiaochen (Lily) Wang
Xiaochen (Lily) Wang is a Fixed Income e-Trading Analyst at Jefferies with a background in mathematics, computer science, and financial analysis.
Current Title and Role
Xiaochen (Lily) Wang currently holds the position of Fixed Income e-Trading Analyst at Jefferies. She has been employed in this role since 2021 and operates out of New York, New York, United States. Her role involves working within the fixed income e-trading sphere, leveraging her analytical skills to manage and optimize trading strategies.
Education and Qualifications
Xiaochen (Lily) Wang holds a Bachelor's degree in Mathematics and Computer Science from Wake Forest University, completed from 2017 to 2020. She further enhanced her qualifications by successfully passing the Level I exam of the Chartered Financial Analyst (CFA) program, which underscores her proficiency in financial analysis. Her education has provided her with a robust grounding in econometrics, mathematics, and computer science.
Professional Experience
Xiaochen (Lily) Wang has acquired diverse professional experience across multiple sectors. Her career includes roles such as Fixed Income e-Trading Summer Intern at Jefferies in 2020 and Data Analyst at Tencent in 2019. Additionally, she has worked as a Quantitative Trading Analyst at Mengxi Investment Management., Ltd in Shanghai and has carried out various research roles at Wake Forest University.
Research Contributions
During her time at Wake Forest University, Xiaochen (Lily) Wang made significant research contributions. She worked on projects such as the segmentation of COVID-19 lung infection from CT images using deep learning, and the development of a non-parametric clustering algorithm based on partitioned local depth. Another noteworthy project involved studying patterns in the share rate between department stores and brands.
Skillset and Expertise
Xiaochen (Lily) Wang possesses a strong and versatile skillset, having gained practical training through internships in both the financial and internet industries. Her expertise includes econometrics, financial analysis, and applying multidisciplinary approaches to connect insights across mathematics, computer science, and finance. These capabilities allow her to address complex real-world problems efficiently.