Role Overview
We are seeking an experienced Business Analyst with a strong background in Anti-Money Laundering (AML) transformation or uplift programs. The ideal candidate will bring over 10 years of experience working with banks or consulting firms in the AML domain, with a proven ability to translate business requirements into actionable system and process enhancements. Familiarity with data and AI-driven use cases in compliance or financial crime risk management will be an added advantage.
Key Responsibilities
- Engage with business stakeholders to gather, analyze, and document AML business requirements.
- Lead requirements elicitation, analysis, and validation, ensuring alignment with regulatory objectives and operational priorities.
- Define and document functional and non-functional requirements across AML systems and processes.
- Collaborate with Business Unit Specialists and System Analysts to translate business needs into clear technical deliverables.
- Conduct impact assessments and process analysis to support to-be process design and optimization.
- Maintain traceability matrices, manage requirement changes, and mitigate scope creep.
- Prepare Business Requirement Documents (BRDs), functional specifications, and capability lists in accordance with project standards.
- Partner with solution architects and data teams to ensure seamless system integration and end-to-end alignment.
- Support testing activities (SIT and UAT) by reviewing test cases and validating functional outputs against requirements.
- Develop business release notes and contribute to deployment and change management planning.
- Work with operational teams to establish or refine procedures resulting from AML system changes.
- Provide analytical input into AI and data use cases related to transaction monitoring, KYC, or risk detection.
Required Skills
- Minimum 10 years of experience as a Business Analyst or Functional SME within AML / Financial Crime Compliance projects.
- Proven experience in banking or consulting environments focused on AML transformation or regulatory uplift.
- Strong understanding of AML processes, including KYC, CDD, TM, Sanctions Screening, and Case Management systems.
- Solid experience producing BRDs, FSDs, and business process documentation.
- Hands-on exposure to data analysis and familiarity with data models and governance principles.
- Strong communication and stakeholder management skills across business and technology teams.
- Analytical mindset with the ability to think strategically and connect regulatory needs with technology solutions.
Preferred Skills
- Familiarity with AI or machine learning applications in AML risk management (e.g., predictive alerts, false positive reduction).
- Experience with AML system migrations or upgrades.
- Exposure to Agile methodologies and regulatory compliance frameworks.
- Knowledge of reporting tools, dashboards, and data visualization for AML analytics.
Application Note
Interested applicants may send their CV directly to [Confidential Information] for consideration.
