Client Overview:
A large Canadian Bank engaged Enosys to lead a risk and controls and operational efficiency assessment for its wealth management operations unit. The client needed a detailed review of processes, technology, and procedures across trade support, cash management, client reporting, and other operational groups — identifying control gaps, automation opportunities, and organizational misalignments.
The Enosys Solution:
Enosys provided a team of Project Managers, Business Analysts, Subject Matter Experts, and Controls Reviewers. The team conducted a thorough assessment across all in-scope functions and delivered prioritized improvement recommendations and implementation roadmaps.
The team focused on:
Enosys led a detailed controls assessment across the wealth management operations unit — identifying gaps in controls, procedure documentation, and organizational alignment across trade support, cash management, and client reporting functions.
Result: Delivered a comprehensive controls gap assessment with prioritized recommendations to strengthen the operational risk and compliance framework.
Enosys reviewed process automation opportunities and technical functionality gaps across the operations unit — identifying areas where workflow improvements and technology enhancements could drive efficiency and reduce manual risk.
Result: Produced a prioritized roadmap for process automation and technology improvements across the wealth management operations unit.
Enosys assessed the client reporting group’s processes and technology — identifying gaps in data accuracy, reporting consistency, and operational procedures.
Result: Delivered targeted recommendations to improve client reporting quality and operational controls.
Enosys reviewed trade support and cash management processes — assessing exception handling, break resolution workflows, and controls to identify gaps impacting operational efficiency and data integrity.
Result: Identified key reconciliation and cash management control gaps with actionable recommendations to reduce operational risk.
Conclusion
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