Nested Tool Transaction Enhancement Project
The Nested Tool Transaction Enhancement Project was a product management-led initiative focused on modernizing AML compliance systems for a leading financial institution. The objective was to reduce manual workload, improve data integrity, and integrate advanced fraud detection models into the compliance ecosystem.
Product Overview This platform modernization project centered on automating anti-money laundering (AML) transaction workflows and implementing AI-based fraud detection within an existing risk management ecosystem. The initiative was designed to ensure compliance with regulatory standards such as ISO 20022 and PCI DSS while improving operational performance and reporting. Key Product Features - AML Workflow Automation: Streamlined nested transaction reviews and eliminated 35% of manual compliance efforts. - AI Fraud Detection: Integrated ML models to flag suspicious activity, reducing false positives by 30%. - Real-time Executive Dashboards: Built in Power BI to provide actionable insights and reduce reporting time by 40%. - Agile-Driven Iterations: Delivered in 2-week sprints with continuous backlog grooming and sprint retrospectives. Product Management Contributions - Owned end-to-end execution of the compliance automation product lifecycle. - Led product backlog refinement, sprint planning, and Agile ceremonies. - Collaborated with data engineers and compliance officers to map ISO 20022 workflows and align PCI DSS adherence. - Coordinated cross-functional efforts across data science, legal, and engineering teams. Technology Stack - Data & Visualization: Power BI, SQL, Python - Design & Documentation: Visio, Confluence, Lucidchart - Development: REST APIs, ML model integration pipelines - Agile Tools: JIRA, Scrum, Sprint Boards Milestones Achieved - 35% reduction in manual review hours through automation. - $450K annual cost savings by optimizing nested transaction workflows. - 40% decrease in compliance reporting time with executive-ready dashboards. - Improved team delivery velocity by 25% via Agile best practices. Business Value The project demonstrated high ROI and scalability, with immediate impact on compliance team productivity and accuracy. It reduced regulatory risk exposure and aligned transaction validation workflows with international standards. The initiative also served as a foundation for future AI-driven enhancements in risk and compliance.
Source: shubhamshrivastava11