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

AIA Singapore Private Limited; Singapore; On-site; SGD 180,000 - 260,000; Full time

Job summary

AIA Singapore Private Limited is seeking an experienced AML Systems Strategy, Analysis & Governance leader to drive regulatory alignment, risk controls, and AI-enabled capabilities across the organization. You will translate complex regulatory requirements into system enhancements, oversee governance of data, models and tooling, and lead cross‑functional projects with Compliance, Technology and Operations.

This role emphasizes production support, incident management, and continuous improvement

Qualifications

• 8-12 years of experience in Financial Crime Compliance, AML, Risk Management or related functions.
• Proven experience in AML systems business analysis, implementation, production support, and project delivery.
• Strong MAS AML/CFT knowledge, sanctions screening, 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.
• Exposure to AI/ML-enabled compliance solutions would be advantageous.

Responsibilities

• 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 and fit-for-purpose.
• 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.

Skills

Analytical thinking

Project management

Stakeholder management

Regulatory risk assessment

AI governance & ML risk

Compliance governance

Education

Bachelor's degree in Business, Finance, IT, Data Analytics

Tools

NICE Actimize

LexisNexis

Dow Jones

Job description

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 Actimise, 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.