Senior AML Systems Business Analyst / Project Manager, Financial Crime Compliance (FCC)

AML Systems Strategy, Analysis & Governance

• Act as the AML systems SME, providing advice on AML/CFT regulations, financial crime risks, system controls, and AI-enabled capabilities.

• Translate business, operational, regulatory, and AI governance requirements into system enhancements, control improvements, and technology solutions.

• Perform impact assessments, effectiveness reviews, and testing activities to ensure AML systems remain compliant, fit-for-purpose, and aligned with business objectives.

• Support regulatory examinations, audits, compliance reviews, and remediation initiatives relating to AML systems and controls.

• Maintain oversight of AML system governance, including model, data, and AI-related risks.

AML Systems Operations & Continuous Improvement

• Serve as the business owner for AML systems, overseeing day-to-day operations, production support, and vendor management.

• Monitor system performance, data quality, alert effectiveness, model outcomes, and service delivery metrics.

• Manage incidents, defects, enhancements, reconciliations, system changes, and associated documentation.

• Drive system optimisation initiatives, tuning exercises, model reviews, and process improvements.

• Ensure operational resilience and compliance with internal governance standards.

Project Delivery & Stakeholder Management

• Lead AML-related projects, including regulatory implementations, system enhancements, AI-enabled solutions, and transformation initiatives.

• Manage project scope, timelines, resources, budgets, risks, dependencies, and governance requirements.

• Coordinate business, compliance, technology, risk, and external stakeholders to ensure successful project delivery.

• Facilitate workshops, steering committees, governance forums, training, and communication activities.

• Escalate and communicate key project, compliance, operational, technology, data, and model risks to managements.

Minimum Job Requirements:

Experience

• 8-12 years of experience in Financial Crime Compliance, AML Compliance, Compliance Technology, Risk Management, Data Governance or related financial services functions.

• Proven experience in AML systems business analysis, system implementation, production support, and project delivery.

• Strong understanding of MAS AML/CFT requirements, sanctions screening, customer risk assessment, and transaction monitoring frameworks.

• Experience managing cross-functional projects and stakeholders across Compliance, Technology, Operations, and Business teams.

• Experience working with AML technology vendors and third-party service providers.

• Experience in insurance, banking, or other regulated financial services environments preferred.

• Exposure to AI/ML-enabled compliance solutions, model governance, data governance, or advanced analytics would be advantageous.

Education

• Bachelor's degree in Business, Finance, Accounting, Information Technology, Data Analytics, or a related discipline.

Professional Certifications (Preferred)

• CAMS, ICA Advanced Certificate/Diploma, or equivalent AML/FCC certification.

• PMP, PRINCE2, Agile, Scrum, or other project management certification.

• Relevant qualifications in AI Governance, Data Governance, Risk Management, or Technology Governance would be advantageous.

Technical Knowledge

• Good understanding of AML systems, including customer risk rating, name screening, transaction monitoring, case management, and regulatory reporting.

• Understanding of system implementation lifecycle, business analysis methodologies, testing, and change management.

• Familiarity with data governance, data lineage, data quality, model risk management, and AI governance principles.

• Experience with AML platforms such as NICE Actimize, LexisNexis, Dow Jones, or equivalent solutions is advantageous.

Core Competencies

• Strong analytical, problem-solving, and critical-thinking skills.

• Strong project management and organisational capabilities.

• Excellent communication, stakeholder management, and influencing skills.

• Ability to balance regulatory expectations, business needs, and technology constraints.

• Strong risk and control mindset with attention to detail and commitment to quality delivery.

• Demonstrated ability to assess emerging technologies, including AI-enabled solutions, from a compliance, governance, risk, and operational effectiveness perspective.