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Fraud Analytics Consultant at CIBC
Job Description & How to Apply Below
In this full-time role, you'll employ advanced analytical techniques to monitor customer transactions—including e-transfers, cheques, and wires. Your expertise in predictive modeling methods will be crucial as you design and conduct complex statistical analyses to support fraud mitigation strategies. You will manage rules within CIBC’s fraud systems, continuously improving approaches to reduce losses and enhance customer impact.
Key Responsibilities:
• Design statistical analyses using SAS, SQL, and Python
• Develop predictive models like neural networks and decision trees
• Monitor and optimize fraud detection strategies
• Conduct feasibility studies to guide fraud mitigation
• Communicate insights to diverse audiences effectively
Requirements:
• Degree/diploma in Analytics or Statistics
• Advanced skills in SAS, SQL, and data management
• Experience with data mining and predictive modeling
• Strong analytical and communication skills
• Passion for learning and adapting to new techniques
Join CIBC to make a significant impact in fraud analytics while growing your expertise in a supportive environment.
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