Financial Crime Transformation | AML | Python | Analytics | Network Intelligence
Financial Crime professional with experience across Financial Crime Transformation, AML, Transaction Monitoring and Sanction screening.
This portfolio demonstrates practical prototypes and strategic concepts exploring how Artificial Intelligence, Network Analytics and Automation can transform Financial Crime Operations.All examples are learning and demonstration projects built to explore Financial Crime analytics, workflow optimisation and Python development concepts.
This portfolio demonstrates practical Financial Crime transformation concepts through Python prototypes, analytics frameworks and AI-enabled workflow designs.
Key focus areas include:
Strategy, governance, architecture, analytics and transformation roadmap for AI-enabled Financial Crime Operations.
Repository: Financial Crime Toolkit
Risk scoring, alert prioritisation and investigator workflow support.
Repository: AML Alert Triage Prototype
Prototype demonstrating alert enrichment, investigator guidance and case narrative support for Financial Crime investigations.
Repository: AI Investigator Copilot
Disclaimer
This portfolio contains personal learning projects, prototype concepts and transformation artefacts developed for demonstration and educational purposes. It does not contain proprietary information, customer data or production code.