About the Role:
AIM Financial Crime and Fraud Prevention Analytics team is seeking an experienced and creative Business Analytics qualified to join our Fraud Strategy and Analytics team to design, optimize, and deploy fraud detection strategies across products and channels. This role partners closely with Fraud Operations, Risk, Product, Technology, and Model Risk teams to support effective fraud loss mitigation, customer experience protection, and regulatory compliance.

The incumbent will act as a subject matter expert in fraud strategy, leveraging advanced analytics, rules-based frameworks, and machine learning techniques to balance fraud losses, false positives, and operational efficiency.

This is a senior individual contributor role requiring solid disciplinary and industry knowledge, with responsibility for improving analytical processes and contributing to the development and enhancement of fraud strategies. The role requires an understanding of how analytics, operations, and technology capabilities integrate to support broader business objectives.



The incumbent is expected to evaluate complex and variable fraud problems, weigh multiple alternatives, and balance competing considerations using diverse data sources. The role may assume informal leadership within project teams, including mentoring junior analysts and contributing to high-impact initiatives.

Key Responsibilities:
• Lead the design, development, testing, and deployment of fraud strategies across products or channels
• Own end-to-end fraud performance management
• Analyze large, complex datasets to identify fraud patterns and emerging risks
• Translate analytical insights into actionable fraud controls
• Conduct testing and post-implementation monitoring
• Partner with Fraud Operations on alert quality and feedback loops
• Collaborate with Technology and Data Engineering teams
• Prepare senior-level dashboards and executive summaries
• Ensure adherence to internal policies and regulatory re

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