Job Description:
Analyse large datasets to identify fraud patterns, anomalies, and emerging internal fraud risks, and translate insights into actionable detection rules and controls Monitor fraud alerts, trends and key metrics (e.g. detection effectiveness, case outcomes) through dashboards and reporting Support investigations through data analysis, evidence gathering, and hypothesis testing Conduct root cause analysis by linking data signals with underlying business processes and identifying control gaps Partner with cross-functional teams (e.g. operations, product, business intelligence) to enhance detection capabilities and close control gaps Recommend and support scalable improvements to fraud detection and monitoring, balancing effectiveness and operational efficiency Identify opportunities to enhance detection logic, workflows and automation Travel up to 30% travel to support investigations, stakeholder engagement, process understanding and on ground reviews where required Oth...