Xin W.

Xin W.

Director, Treasury Analytics @ CIBC

About Xin W.

Xin W. is the Director of Treasury Analytics at CIBC, with previous roles at Scotiabank and TD. Xin holds Ph.D. degrees in Statistics and Applied Mathematics and a Bachelor's degree in Computing Mathematics.

Professional Title and Role

Xin W. has been serving as the Director of Treasury Analytics at CIBC since 2019. The role is situated in Toronto, ON at 161 Bay Street. As Director, Xin oversees the strategies and analytical approaches within the Treasury department. Their responsibilities likely involve managing various financial models, risk assessments, and ensuring the optimization of treasury operations within the bank.

Previous Experience at Scotiabank

Before joining CIBC, Xin W. worked as Senior Manager for Model Validation and Approval at Scotiabank from 2017 to 2019. This role, based at 44 King Street West in Toronto, ON, involved reviewing and validating financial models to ensure their efficacy and compliance. Xin was responsible for overseeing risk models and making sure they met regulatory standards while supporting the bank's operational strategies.

Previous Experience at TD

From 2014 to 2017, Xin W. held the position of Senior Analyst in Trading Risk and Model Development at TD. Located at 66 Wellington Street West in Toronto, ON, this role required expertise in developing and assessing trading risk models. Xin was integral to the bank's risk management strategies, focusing on the creation and validation of models that are used to predict market movements and assess trading risks.

Educational Background

Xin W. has an extensive educational background with several advanced degrees. They obtained a Doctor of Philosophy (Ph.D.) in Statistics from Western University. Additionally, they earned another Ph.D. in Applied Mathematics from the Academy of Mathematics and Systems Science, Chinese Academy of Sciences. Xin also holds a Bachelor's degree in Computing Mathematics from Beijing Institute of Technology. This strong foundation in mathematics and statistics supports their analytical and model development work in the financial sector.

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