Looking for a job

Salah User

@salahuser4

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I turn fraud, operations, and customer data into measurable risk reduction and process improvements.

Canada

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What I'm looking for

I'm looking to apply business analysis, risk analytics, and data skills to improve processes, strengthen decision-making, and partner closely with business and technology teams.

At BMO Nesbitt Burns, I reduced client escalations by 15% across 6,000+ high-net-worth accounts by tracing recurring issues to root causes and improving the underlying processes. I also redesigned documentation workflows and process controls, improving operational efficiency by 50% while maintaining audit readiness.

Previously at CIBC, I helped cut fraud cases by 60% through requirements gathering, gap analysis, and improvements to automated fraud detection systems. I exceeded fraud recovery targets by 40%, reduced false positives by 15%, and trained 10+ analysts while supporting consistent AML/KYC practices.

I've completed an MSc in Business Analytics and Data Science and apply Python, SQL, machine learning, Power BI, and Apache Spark to risk and business problems. I enjoy connecting business, operations, compliance, and IT teams to turn data into practical recommendations.

Experience

Work history, roles, and key accomplishments

Operations Analyst

BMO Nesbitt Burns

Sep 2023 - Aug 2025 (1 year 11 months)

Reduced client escalations by 15% across 6,000+ high-net-worth accounts by tracing root causes and fixing processes. Redesigned documentation workflows and standardized controls, improving operational efficiency by 50% while maintaining audit readiness.

SQL Power BI KPI Reporting Process Optimization Root Cause Analysis Stakeholder Management Cross Functional Collaboration Data Analysis

Business Systems & Risk Analyst

Canadian Imperial Bank of Commerce

Feb 2021 - Sep 2023 (2 years 7 months)

Cut fraud cases by 60% by gathering requirements and running gap analysis on automated fraud detection systems, then collaborating with IT to implement improvements. Exceeded fraud recovery targets by 40% and trained 10+ analysts, raising team performance by 20%.