Best Iriah
About Best Iriah
Best Iriah is an Anti-Money Laundering Analyst at CIBC with a background in criminology and sociology, and experience in research and project assistance.
Current Role at CIBC
Best Iriah has been working as an Anti-Money Laundering Analyst at CIBC since 2021. His responsibilities include analyzing financial records and transactions to identify suspicious activities that may indicate money laundering. At CIBC, he plays a crucial role in ensuring compliance with anti-money laundering regulations and helps to protect the bank from financial crimes.
Work Experience at Wilfrid Laurier University
Best Iriah has an extensive work history at Wilfrid Laurier University, holding various roles from 2018 to 2020. He served as a Research Assistant, Graduate Peer Mentor, and Teaching Assistant in Brantford, Ontario. His work included assisting with academic research, mentoring peers, and supporting teaching activities in the Criminology department. These positions helped him develop a strong research background and expertise in academic settings.
Role at Ontario Ministry of Education
In 2019, Best Iriah worked as a Project Assistant at the Ontario Ministry of Education in Toronto, Ontario. During his four-month tenure, he developed an interest in cyber crime and artificial intelligence. This role provided him with the opportunity to focus on cyber security policies and the regulation of cyber crime, broadening his expertise in these critical areas.
Educational Background
Best Iriah holds a Master's degree in Criminology from Wilfrid Laurier University, where he studied from 2018 to 2020. He also earned a Bachelor's degree in Criminology and Sociology from the University of Toronto Mississauga, completing his studies between 2013 and 2017. His academic background has provided him with a solid foundation in understanding crime dynamics, especially in the areas of white-collar crime, youth justice, and media studies.
Research on Mass Shootings and Cyber Crime
Best Iriah has conducted research on mass shootings to understand potential risk factors. This research is part of his broader interest in cyber crime and artificial intelligence. His work aims to identify underlying factors that could contribute to mass shootings and develop strategies to mitigate these risks. This research experience has augmented his knowledge in cyber security and the regulation of cyber crime.