Daniel Li
About Daniel Li
Daniel Li is a Senior Data Scientist at Wealthsimple with a background in developing client-facing chatbots and credit risk models.
Current Position at Wealthsimple
Daniel Li currently holds the position of Senior Data Scientist at Wealthsimple, starting in 2023. In this role, he leverages his expertise in data analysis to support the company's financial services. His responsibilities include developing and implementing data-driven strategies to enhance customer engagement and optimize business operations.
Previous Work Experience at Capital One
Before joining Wealthsimple, Daniel Li had an extensive career at Capital One, where he served in multiple roles over a span of six years. He began as a Statistician (Co-op) in 2015, before becoming a Data Scientist from 2016 to 2018. He was then promoted to Senior Data Scientist from 2018 to 2020, and subsequently advanced to Principal Data Scientist from 2020 to 2021. During his tenure, he focused on developing credit risk models and financial data reports to streamline decision-making processes.
Education at University of Waterloo
Daniel Li completed his Bachelor of Mathematics at the University of Waterloo, where he studied from 2011 to 2016. His academic background in mathematics has provided a strong foundation for his career in data science and analytics. The rigorous curriculum equipped him with analytical skills and knowledge essential for developing complex data models and solutions.
Co-Op Experience in Data Analysis
During his undergraduate studies, Daniel Li gained practical experience through co-op positions. In 2014, he worked as a Data Analyst in Enterprise Analytics at Home Trust Company in Toronto. The following year, he served as a Statistician (Co-op) at Capital One. These experiences allowed him to apply his academic learning to real-world problems, furthering his skills in data analysis and statistical modeling.
Developing Financial Data Reports and Chatbots
Throughout his career, Daniel Li has developed client-facing chatbots and credit risk models aimed at enhancing customer approval processes. Additionally, he has created business-critical financial data reports to support executive decision-making. These contributions have been integral to the operations and strategic planning of the companies he has worked for.