Jianjie Zeng
About Jianjie Zeng
Jianjie Zeng is a Quantitative Modeler at UBS with extensive experience in data science and quantitative analysis. He has a strong academic background in Mathematics and Statistics, complemented by a Master of Science in Mathematical Finance.
Current Role at UBS
Jianjie Zeng currently serves as a Quantitative Modeler at UBS, a position he has held since 2019. In this role, he focuses on developing and implementing quantitative models to support financial decision-making. His responsibilities include conducting hypothesis testing, model recalibration, back-testing, stress testing, scenario analysis, and sensitivity analysis to enhance model performance. His work contributes to the firm's ability to manage risk and optimize asset performance.
Previous Experience in Quantitative Analysis
Prior to his role at UBS, Jianjie Zeng worked at The Foreign Exchange Trading Academy, LLC as a Research Analyst for four months in 2019. He also served as a Data Scientist at Metis from 2021 to 2022 for six months. During his time at these organizations, he built models from scratch, incorporating asset pricing factors through data cleaning and analysis using R and Excel. He evaluated over 10 statistical algorithms to forecast asset performance, selecting four optimal models for the Global Wealth Management business.
Educational Background
Jianjie Zeng has a strong educational foundation in mathematics and finance. He earned a Bachelor of Science in Mathematics from Lanzhou University, completing his studies from 2013 to 2017. He then pursued a Master of Science in Mathematical Finance at Rutgers University from 2017 to 2019. Additionally, he holds a Metis Data Science Certificate after completing a 20-week program. He also studied Mathematics and Statistics as an exchange student at the University of Leeds in 2016 and at UCLA in 2015.
Internship Experience
In 2016, Jianjie Zeng gained practical experience as a Risk Management Intern at Industrial Bank Co., Ltd. for one month. This role provided him with insights into risk assessment and management processes within the financial sector, complementing his academic studies and subsequent career in quantitative modeling.
GitHub Profile and Projects
Jianjie Zeng maintains a GitHub profile where he showcases various projects and code related to quantitative modeling and data science. This platform serves as a portfolio of his work, highlighting his skills in programming and data analysis, and allows potential collaborators and employers to review his contributions to the field.