Anti Money Laundering jobs in Singapore

Join us in making a significant impact! You will be a subject matter expert, collaborating with various teams to contribute to key decisions and provide innovative solutions to complex challenges. Your expertise in Anti-Money Laundering will be invaluable as you engage with multiple teams and help shape the future of our organization. We are excited to see how your contributions will drive success and foster a culture of excellence.

• Design and implement effective strategies to combat money laundering.
• Analyze and assess business processes to enhance operational efficiency.
• Collaborate with cross-functional teams to ensure compliance with regulatory requirements.
• Provide insights and recommendations based on thorough research and analysis.
• Facilitate training sessions to enhance team knowledge and awareness of Anti-Money Laundering practices.

• Validate Functional Design Against Business Reality: Ensure that AI agent functionalities (e.g., SoW summarization, document ingestion, risk flagging) align with actual operational needs.
• Refine Target-State Workflows: Collaborate with BAs and design teams to iterate and validate "to-be" workflows, focusing on how the agentic AI will operate within or alongside existing teams.
• Exception & Edge Case Scenarios: Identify non-standard cases that require human intervention, policy exceptions, or represent high risk - essential for guiding agent behavior and fallback design.

• Participate in Design Reviews: Actively contribute to changes that may be required for system/process designs agreed during workshop sessions - due to limitations in solutioning/tech architecture, and achieving balance on operational feasibility, control points, and compliance alignment.
• Define Business Rules & Tolerances: Help define thresholds, red flags, or business rules that the AI system will use for decisioning or escalating discrepancies.

• Review and Curate SoW Examples: Provide input in generating representative SoW cases, documents, and commentary that reflect a range of real-life scenarios (e.g., creating synthetic data - coverage of scenarios that represent production data cases).
• Support AI Training Data Quality: Work with the AI/ML team to validate labelled data, suggest refinements, or highlight nuances in language, structure, or tone that indicate compliance issues or legitimacy concerns.

• Participate in fine-tuning / hypercare: Provide domain feedback on early prototypes or AI behavior or evaluation results in these phases.
• Bridge for UAT Design: Support the definition of meaningful UAT scenarios by providing business-relevant test cases and validation expectations.

• Maintain Communication with Operations Teams: Act as the voice of end users - ensuring their pain points, regulatory constraints, and priorities are understood throughout the build process.
• AML Domain SME: provide insights to SoW industry practices to assist FBA and Tech team, as well as to BU.

• Bachelor’s degree in Finance, Business, Technology, or related fields.
• Strong understanding of AML/CLM processes and vendor platforms.
• Experience in fraud detection, payment screening, and regulatory requirements.
• Knowledge of AI/ML applications in risk or compliance preferred.
• Consulting background a plus.

• Master proficiency in Anti-Money Laundering.
• Master proficiency in Business Process Design.
• B_A minimum of 5 years of experience in relevant related skills.
• Bachelor's Degree in relevant field of studies.
• Expert proficiency in Functional Designs.
• Advanced proficiency in User Research.
• Intermediate proficiency in Data Analysis.
• Advanced proficiency in Risk Assessment.
• Expert proficiency in Regulatory Compliance.