A compliance reporting and fraud detection platform designed for a digital banking environment, replacing manual reporting, fragmented risk data and delayed fraud detection with a structured, automated operating model.
I designed a compliance reporting and fraud detection automation platform for a digital banking environment, replacing manual reporting, fragmented customer risk data, spreadsheet based consolidation, email approvals and delayed fraud detection with a structured digital operating model.
The solution introduced automated compliance reporting, real time fraud alerting, centralised customer risk profiling, workflow based case management, audit trail visibility, KPI reporting and a phased agile delivery roadmap.
Compliance and fraud operations relied on disconnected systems, manual CSV extraction, spreadsheet consolidation, email based approvals and overnight batch processing. That created reporting delays, data errors, weak audit trails, fraud detection lag and regulatory exposure.
Two workflows were analysed end to end, compliance reporting and fraud monitoring. The AS IS maps surfaced the manual handoffs and delays. The TO BE maps show the automated pipelines, validation gates and escalation paths that replace them.
I worked across discovery, requirements definition, process analysis, backlog planning, prototype validation and delivery governance.
I produced and supported AS IS and TO BE workflow analysis, gap analysis, stakeholder mapping, epics, user stories, acceptance criteria, UAT evidence, defect tracking, RAID and RACI artefacts, KPI targets, business case assumptions and the implementation roadmap.
An interactive operations portal bringing the model to life, an analytics and insights view, a real time fraud monitoring dashboard, and an operations overview tying compliance, fraud and case management together.
The transformation was framed as a delivery backlog with clear scope, estimation and validation, not just a slide deck.
False positive volume was targeted to fall below 30 percent through tiered scoring and tuned detection rules, reducing wasted investigation effort while protecting genuine alerts.