Associate Vice President, Financial Crime Detection & Data Engineering, Business Analyst

The Company is seeking an Associate Vice President, Financial Crime Detection & Data Engineering, Business Analyst to support the development and continuous improvement of an AI-enabled capability for quality assurance reviews of financial crime investigations. The role will translate investigator, quality assurance, and control stakeholder needs into clear, testable requirements, including user journeys, business rules, data and control requirements, exception paths, and acceptance criteria. The successful candidate will assess regulatory and policy changes, delivery impacts, dependencies, and feasibility, while coordinating decisions across business and technology teams. Responsibilities also include defining performance and control measures, maintaining end-to-end traceability, and supporting human oversight, validation, monitoring, incident response, and remediation. Candidates should have proven experience delivering AI-enabled products in regulated, global environments, from discovery and requirements through deployment and ongoing improvement. Strong knowledge of financial crime investigations, quality assurance, operational risk, controls, audit evidence, and governance is required, along with expertise in business analysis, process and data modelling, impact analysis, traceability, and change control. Practical understanding of generative and agentic AI—including large language model orchestration, retrieval-augmented generation, evaluation, observability, and responsible AI controls—is essential. Excellent analytical, facilitation, communication, and influencing skills are needed to assess risks and trade-offs and recommend practical, scalable solutions.