Matthew Chin
About Matthew Chin
Matthew Chin is an Analytics Specialist in Risk Analytics and Retail Lending Insights at CIBC, with expertise in data visualization, programming, and predictive modeling.
Current Role at CIBC
Matthew Chin is currently serving as an Analytics Specialist in Risk Analytics and Retail Lending Insights at CIBC. He has held this position since 2016. In his role, he utilizes advanced data visualization tools, including Tableau, to derive insights in the retail lending sector. Additionally, Matthew employs programming languages such as R and SQL to enhance risk analytics projects, focusing on data mining and predictive modeling.
Previous Positions at CIBC
Before his current role, Matthew Chin worked at CIBC in various capacities. From 2015 to 2016, he was a Business Analyst in Metrics and Analytics located at 750 Lawrence Ave West. Prior to this, he served as a Billing Analyst in Global Transaction Banking from 2014 to 2015, stationed at 55 Yonge St, 8th Floor. These roles allowed him to gain extensive experience in business analysis and billing processes within the financial sector.
Experience as Business Owner
Matthew Chin has entrepreneurial experience from his time as a Business Owner at M-Tech Communications. He managed the business from 2011 to 2013, which provided him with insights into the telecommunications industry and honed his managerial skills.
Education and Certifications
Matthew Chin has a diverse educational background. He studied at Queen's University, where he earned a Bachelor’s of Science Honours in Mathematics with a focus on Statistics in 1970. He further specialized by obtaining a certification in Database Administration & Design from Centennial College and certifications from SAS Institute in SAS, completing these studies between 2015 and 2017.
Technical Proficiency
Matthew Chin possesses significant technical expertise particularly in data analytics. He is proficient in using SAS Enterprise Miner for data mining and predictive modeling. His skill set includes programming languages like R and SQL, which he has applied to various risk analytics projects, enhancing his ability to analyze and interpret complex datasets.