Sam Liu

Sam Liu

Senior Data Scientist, Advanced Analytics @ CIBC

About Sam Liu

Sam Liu is a Senior Data Scientist in Advanced Analytics at CIBC, with extensive experience in data science and analytics roles across major financial institutions in Toronto, Canada.

Title

Sam Liu serves as a Senior Data Scientist, Advanced Analytics at CIBC, a position he has held since 2021 in Toronto, Ontario, Canada.

Current Role at CIBC

As a Senior Data Scientist in Advanced Analytics at CIBC, Sam Liu leverages his expertise in data science to drive analytics initiatives. Since 2021, he has been an integral part of the team, utilizing advanced data techniques to support the bank's strategic decision-making processes in Toronto, Ontario, Canada.

Previous Roles

Sam Liu has held several key positions across major financial institutions in Toronto, Canada. At RBC, he worked as a Data Scientist in Marketing from 2019 to 2020. Prior to that, he served as a Senior Analyst in Fraud Analytics at Scotiabank from 2018 to 2019. Additionally, he held the role of Data Analyst in the Risk Data Management Office at CIBC from 2017 to 2018. Earlier in his career, he gained experience at Sun Life Financial as a Co-op in Model Validation in 2016 and as a Graduate Teaching Assistant at York University from 2014 to 2015.

Education and Expertise

Sam Liu attained his Master of Arts in Statistics from York University, studying from 2014 to 2016. He also holds a Bachelor of Science in Actuarial Science from the University of Toronto, where he studied from 2010 to 2014. His educational background provides a strong foundation in statistical analysis and actuarial principles, which he applies extensively in his professional roles.

Professional Experience in Toronto

Throughout his career, Sam Liu has accumulated extensive experience working in Toronto's financial sector. He has been associated with major banks like CIBC, RBC, and Scotiabank, as well as insurance firm Sun Life Financial. His roles have ranged from model validation and risk data management to marketing and fraud analytics, showcasing a diverse skill set in various aspects of data science and analytics.

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