Elevate fraud detection strategies as a Consultant in Fraud Analytics at CIBC. Leverage SAS, SQL, and Python to design advanced statistical analyses and monitor fraud effectively.

CIBC is seeking a Consultant with experience in fraud analytics to independently perform complex analyses and utilize predictive modeling. You will engage in data analysis for fraud mitigation, contributing to strategic initiatives aimed at reducing customer impact and fraud losses. Collaboration with stakeholders will ensure the deployment of successful fraud solutions.

Key Responsibilities:
• Design statistical analyses using SAS, SQL, and Python
• Implement and optimize fraud detection strategies
• Conduct feasibility studies and cost/benefit analyses




• Collaborate with internal and external stakeholders
• Maintain database management/querying for data analysis

Requirements:
• 5+ years of experience in data science or fraud analytics
• Proficiency in SAS EG, SAS Miner, Tableau, and SQL
• Degree in analytics, statistics, or related field
• Strong analytical and problem-solving skills
• Excellent verbal and written communication

Become a key player in mitigating fraud at CIBC through creative analytical solutions.
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📌 Fraud Analytics Consultant at CIBC (Ontario)
🏢 Canadian Imperial Bank of Commerce
📍 Ontario