Financial Risk & Fraud Operations Executive
End-to-end credits and payments lifecycle capability spanning underwriting, collections, and recovery. Fraud controls and AI governance embedded into operational decisions.
Organisations worked with
Build structures that balance revenue growth against credit and fraud exposure. Not one or the other.
Adopt machine learning where it is demonstrably safer, faster, and more measurable. Accountability explicit from day one.
Fraud and credit loss are operational realities driven by process gaps. Strong design and monitoring outperform best intentions.
Predicting and managing outcomes across the credit journey. Delinquency risk, roll-rate movement, and cure likelihood converted into operational actions and policy thresholds that frontline teams can act on.
Detection, prevention, and response spanning rule logic design, threshold tuning, and escalation flows. Reduced loss while actively managing false positives and customer friction.
Ensuring underwriting innovation is deployable, monitorable, and explainable enough for governance. Treating models as living systems requiring drift monitoring and accountable ownership structures.
Building rules, procedures, documentation, and reporting that stand up to scrutiny. Strong data governance expectations for accuracy, integrity, and board-level oversight.
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Extracting reliable data, analysing it quickly, and converting it into decisioning logic, monitoring, and operational controls. Every tool chosen for measurable outcomes.
