Director – Global Lead, Financial Crime Analytics

The Director, Financial Crime Analytics Strategy & Optimization is a senior leadership role responsible for defining and executing the global strategy for tuning, optimizing, and modernizing financial crime detection systems, including Transaction Monitoring (TM) rulebooks, Customer Risk Rating (CRR) models, and Fraud detection models.

This role is critical to drive the transition from legacy, rules-heavy and manually intensive controls to a risk-based, intelligence-led, and AI-enabled operating model. Reporting to the Global Head, Financial Crime Compliance Technology, The Director partners across Compliance, Technology, Data, Operations, and vendors to deliver measurable improvements in risk coverage, false‑positive reduction, operational efficiency, and regulatory defensibility.

• Define and execute a global analytics optimization strategy across TM, CRR, and Fraud systems aligned to regulatory expectations and enterprise risk appetite.

• Act as a senior analytics SME for the Financial Crime Modernization Program, embedding analytics strategy into platform, data, and operating model decisions.

• Translate regulatory findings, audit issues, and risk assessments into clear optimization roadmaps and execution priorities.

• Lead the ongoing optimization of global TM rulebooks across business lines, geographies, and customer segments.

• Reduce false positives while maintaining or strengthening risk coverage through segmentation, threshold tuning, scenario rationalization, and advanced analytics.

• Establish a sustainable TM optimization operating model, including periodic reviews, challenger approaches, and performance monitoring.

• Own the strategic direction for CRR and Fraud model tuning and enhancement, ensuring models are predictive, explainable, and effectively consumed by downstream controls.

• Lead recalibration initiatives in response to regulatory feedback, data changes, and business evolution.

• Ensure alignment between CRR, Fraud, and TM to deliver a cohesive, risk‑based control ecosystem.

• Define and execute the transition strategy from rules‑based detection to AI and machine‑learning‑driven approaches.

• Partner with FCC Technology, Data, and vendors to design, test, and deploy ML and hybrid detection models.

• Establish model lifecycle governance covering performance monitoring, explainability, documentation, and audit readiness, with a robust controls process.

• Ensure all optimization activities are fully defensible, supported by robust documentation, validation, and change control.

• Act as a senior point of engagement for audit and regulatory reviews, clearly articulating optimization rationale and outcomes.

• Embed analytics governance into BAU to prevent post‑remediation control degradation.

• Partner across Compliance, Operations, Technology, Data, and vendors to execute optimization at scale.

• Influence senior stakeholders across a global, matrixed organization.

• Provide thought leadership to executive forums on analytics strategy and transformation progress.

• 8+ years of experience in Financial Crime Analytics, AML, Fraud, or Compliance Technology.

• Deep expertise in TM, CRR, and Fraud analytics optimization and remediation.

• Proven experience leading enterprise‑scale analytics or FCC transformation initiatives.

• Strong understanding of AI/ML applications and regulatory expectations for model governance.

• Demonstrated ability to lead through influence in complex, global environments.

• Strategic, outcome‑focused leader with strong execution discipline.

• Credible with regulators, auditors, and senior executives.

• Balances innovation with regulatory pragmatism and risk discipline.

• Collaborative, resilient, and accountable for measurable outcomes.

• We’ll empower you to learn and grow the career you want.

• We’ll recognize and support you in a flexible environment where well‑being and inclusion are more than…