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 analysis Develop, maintain,
and deploy fraud mitigation algorithms Lead feasibility studies and recommend fraud mitigation rules Provide direction to junior department employees Support transaction monitoring systems as subject matter expert Requirements:
Experience using SQL, SAS EG, SAS Miner, Tableau, and/or Python Degree or diploma in analytics, statistics, or computer-based discipline Knowledge of current modeling and analytical techniques Excellent verbal and written communication skills Ability to investigate complex problems and interpret information Apply predictive modeling, transaction monitoring, and statistical analysis as CIBC’s Senior Fraud Analytics Data Scientist in Toronto.