Jerry Xia
About Jerry Xia
Jerry Xia is a Quantitative Analyst at UBS, where he has worked since 2019. He holds a Master's degree in Financial Engineering from Stevens Institute of Technology and has experience in various technical applications, including deep learning and time series analysis.
Work at UBS
Jerry Xia has been employed at UBS as a Quantitative Analyst since 2019. In this role, he applies quantitative methods to analyze financial data and develop models that support investment strategies. His work involves utilizing advanced technical packages to enhance the firm's analytical capabilities. Jerry's tenure at UBS spans over five years, during which he has contributed to various projects aimed at improving financial decision-making processes.
Previous Experience in Quantitative Analysis
Prior to his current position, Jerry Xia gained valuable experience through internships at Fair Value Partners Inc and Western Asset Management in 2018. At Fair Value Partners, he worked as a Desk Quant Intern for four months in Princeton, NJ, where he supported quantitative research efforts. Subsequently, he served as a Quantitative Strategist Intern at Western Asset Management for three months in Hoboken, NJ, further developing his skills in quantitative analysis and financial modeling.
Education and Expertise
Jerry Xia holds a Master's degree in Financial Engineering from Stevens Institute of Technology, which he completed from 2017 to 2019. He also earned a Bachelor's degree in Geophysics from the University of Science and Technology of China, studying there from 2010 to 2014. His educational background provides a strong foundation in quantitative methods and analytical techniques, essential for his role in finance.
Technical Skills and Tools
Jerry Xia possesses a diverse skill set in technical tools and programming languages. He utilizes TensorFlow for deep learning applications, demonstrating expertise in machine learning. Additionally, he has strong proficiency in CUDA for GPU programming, which is important for high-performance computing tasks. His experience with web crawling using Scrapy indicates his capability in data extraction and analysis, while his knowledge of time series analysis using StatsModels is crucial for financial data interpretation.
Contributions to Open Source Projects
Jerry Xia actively contributes to open-source projects on GitHub, reflecting his commitment to collaborative software development. This involvement allows him to engage with the broader programming community, share knowledge, and enhance his technical skills. His contributions to open-source projects demonstrate a proactive approach to learning and applying new technologies in quantitative analysis.