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.

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