Alice (Meng) Zhang
About Alice (Meng) Zhang
Alice (Meng) Zhang is the Vice President of Data Science at Oportun, where she has worked since 2023. She has extensive experience in data science and statistical analysis, having held various leadership roles at Capital One Auto Finance and Oportun, and holds advanced degrees in psychology and public administration.
Current Role at Oportun
Alice Zhang serves as the Vice President of Data Science at Oportun, a position she has held since 2023. In this role, she is responsible for overseeing data science initiatives, leading teams, and driving data-driven decision-making processes. Her expertise in statistical analysis and model development supports Oportun's mission to provide accessible financial services.
Previous Experience at Oportun
Alice Zhang previously held multiple roles at Oportun, including Senior Director of Data Science from 2020 to 2023 and Director of Data Science from 2018 to 2020. During her tenure, she contributed to the development of advanced data models and analytics strategies that enhanced the company's operational efficiency and risk management capabilities.
Experience at Capital One Auto Finance
Alice Zhang worked at Capital One Auto Finance in various capacities. She served as a Data Science Manager from 2015 to 2016 and as a Statistical Analysis Manager from 2014 to 2015. Additionally, she was a Senior Statistician from 2012 to 2014. Her roles involved applying statistical methodologies to improve financial products and services.
Educational Background
Alice Zhang has an extensive educational background. She earned a Ph.D. in Social Psychology from Iowa State University, an M.S. in Applied Psychology from Peking University, and a Bachelor's degree in Public Administration from Fudan University. This diverse academic foundation supports her analytical and research capabilities in data science.
Technical Skills and Certifications
Alice Zhang is certified as an advanced programmer for SAS 9 and as a business process manager. She possesses hands-on experience with various statistical analysis programs, including SAS, SQL, Python, and R. Her expertise extends to survival valuation models, loan acquisitions, and risk forecast models, making her a valuable asset in data-driven environments.