Peter Liston

Delivered up to 25% year-on-year reduction in digital scam losses by leading fraud/scam analysis and detection improvements. Led detection strategy and rule optimisation, using trigger attribution and overlap analysis to identify monitoring gaps and produced governance-ready scenario analysis for senior stakeholders.

Led end-to-end delivery of fraud detection capabilities, from investigation and data preparation through production rule deployment and documentation. Built scalable datasets and automated reporting pipelines and designed real-time fraud rules and monitoring outputs to improve control effectiveness and reduce avoidable alert volume.

Produced fraud trend, intelligence, and metric reporting to support risk response prioritisation and portfolio-level strategy. Developed automated data pipelines and intelligence feeds to improve visibility of emerging fraud threats and partnered with Fraud Operations, Risk, and Strategy to translate findings into tactical interventions and control changes.

Prepared and reviewed time-critical client tax documentation for submission to regulators and custodians across multiple jurisdictions. Managed data quality across tax systems and handled regulator and client requests within strict deadlines.

Bachelor of Economics and IT from the National University of Ireland, Galway.

Completed a 120-hour Advanced Analytics Upskilling Program covering applied analytics, AI/ML, and decision-focused modelling.

Completed an applied machine learning and model development AI bootcamp.