Overview
In this role you lead a senior internal capability for Financial Crime Prevention, reporting to the Chief MLRO. You will translate priorities into a practical strategy, frameworks and measurable outcomes, and lead hands-on development of methodologies, governance outputs and AI-enabled solutions. You will design operating models, roadmaps and deliverables that are scalable and regulator-ready. You work across risk, operations and technology to drive transformation and tangible risk reduction. This is a high-impact, cross-functional leadership role.
Responsibilities
- Translate Chief MLRO priorities into a clear strategy, roadmap and delivery plan
- Design target-state operating models, governance arrangements and implementation frameworks across Financial Crime risk and operations
- Produce core Financial Crime Prevention materials (policies, standards, procedures, control frameworks) and executive papers
- Define data, technology, automation and AI roadmap with governance considerations
- Establish management information and success measures to show delivery progress and improvements
- Support the Chief MLRO with concise options and updates for senior stakeholders
- Build and lead a high-performing, data- and tech-driven Financial Crime team
Key requirements
- Significant experience in Financial Crime, transformation, internal consulting or operating model design in financial services
- Strong understanding of AML/CTF, sanctions and fraud risk
- Experience in due diligence, customer/name/payment screening, transaction monitoring and fraud detection
- Proven ability to design practical frameworks, policies and control standards
- Strong consulting, problem-solving and execution capability
- Experience engaging with senior executives, regulators, auditors and cross-functional stakeholders
- Experience in wholesale, institutional, corporate, brokerage or payments environments
- strong communication and stakeholder management
- problem-solving and structured thinking
- execution focus and delivery discipline
- financial crime risk management
- operating model design
- data governance and analytics
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