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 a critical driver of 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. Position Responsibilities Financial Crime Analytics Strategy & Leadership 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. Transaction Monitoring Rulebook Optimization 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. Customer Risk Rating (CRR) & Fraud Model Strategy 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. AI / Machine Learning Enablement 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. Governance, Audit & Regulatory Engagement 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. Stakeholder & Vendor Partnership 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. Required Qualifications 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. Key Leadership Behaviours 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. Equal Opportunity Employer Manulife is an Equal Opportunity Employer. At Manulife/John Hancock, we embrace our diversity. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention, advancement and compensation, and we administer all of our practices and programs without discrimination on the basis of race, ancestry, place of origin, colour, ethnic origin, citizenship, religion or religious beliefs, creed, sex (including pregnancy and pregnancy‑related conditions), sexual orientation, genetic characteristics, veteran status, gender identity, gender expression, age, marital status, family status, disability, or any other ground protected by applicable law. #J-18808-Ljbffr John Hancock