Lead fraud analytics at CIBC through predictive modeling, transaction monitoring, and data-driven mitigation algorithms in a hybrid Toronto arrangement. Your work will address complex fraud challenges.
As Senior Data Scientist, Fraud Analytics, you will manage ongoing fraud exposure through analysis, development, maintenance, and deployment. You will apply optimization, clustering, neural nets, logistic regression, decision trees, sampling, and Bayesian estimation. The role also includes leadership and subject matter expertise.

Key Responsibilities

Conduct transaction monitoring and proactive fraud exposure analysisDevelop, maintain,



and deploy fraud mitigation algorithmsLead feasibility studies and recommend fraud mitigation rulesProvide direction to junior department employeesSupport transaction monitoring systems as subject matter expertRequirements:
Experience using SQL, SAS EG, SAS Miner, Tableau, and/or PythonDegree or diploma in analytics, statistics, or computer-based disciplineKnowledge of current modeling and analytical techniquesExcellent verbal and written communication skillsAbility to investigate complex problems and interpret informationApply predictive modeling, transaction monitoring, and statistical analysis as CIBC’s Senior Fraud Analytics Data Scientist in Toronto.
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📌 Senior Fraud Analytics Data Scientist (Canada)
🏢 CIBC
📍 Canada