Fraud & AML Strategy Co-op (BS / MS Students) - Canada

Currently enrolled in co-op program or recently completed a Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Economics, Business Analytics, Finance, or a related field Curious about fraud prevention, AML, risk management, and fintech Comfortable working with data and eager to learn industry tools and frameworks Able to think analytically and communicate findings clearly Canadian Citizen or PR of Canada Experience with or coursework in SQL Familiarity with Python, data analysis, or statistics through coursework or projects Strong analytical and problem-solving skills Ability to work independently and collaboratively in a fast-paced environment

Assist in designing, testing, and tuning fraud and AML detection rules Help maintain and document rule libraries Analyze transaction data to identify trends, anomalies, and emerging fraud or AML typologies Support experiments and pilot initiatives Partner with Data Science teams to translate fraud patterns into model features Work with Fraud & AML Operations teams to review case outcomes Assist in defining fraud and AML workflows Help evaluate third-party fraud or AML data sources Contribute to dashboards, reports, and presentations Support strategy recommendations