About this role
Job Purpose
• Conduct thorough post-transaction reviews of suspected fraud cases (e.g., account takeover, identity misuse)
• Analyze case-level data using basic SQL or visualization tools to identify emerging fraud trends and propose hypotheses for rule enhancements to the strategy team
• Extract, summarize, and report on key fraud metrics including loss patterns, alert volumes, and operational bottlenecks through dashboards or scheduled reports
• Maintain MIS for FP&I for the bank as per regulatory and group standards.
• Review and analyze system / data base logs of Mashreq Pakistan Systems for fraud cases.
• Prepare Daily trends of various legs including but not limited to EFM Systems, Tickets etc.
• Prepare Dashboards for EFM, ticketing systems, Transaction Monitoring to measure the associated risks.
• Deep dive into key areas for process automation.
• Analyze data for rule setting to minimize/mitigate fraud risk through effective utilization of fraud detection tools.
• Be a back up for Transaction monitoring system for fraud detection when applicable.
Key Result Areas
• Implement Dashboards for daily trends for management visibility. • Profiling of accounts to abnormal activities for fixtures/changes in journeys/processes where applicable • Assist in fraud prevention & detection measures to implement strategies. Knowledge, Skills and Experience
• Bachelor 4 years, preferably in computer Science. • Proficient in data science & machine learning. • 01 years of experience in fraud detection, risk management, payments, or a related field (preferably in fintech, banking, or e-commerce) • Able to write simple SQL queries or use dashboards (Power BI) to extract and interpret case-level analyses. • Strong analytical and investigative skills with attention to detail. • Understanding of regulatory requirements. • Ability to think critically and work efficiently in a fast-paced, high-growth environment • Excellent written and verbal communication skills • Comfortable working in a fast-paced, execution-driven environment