About the role
Lead end-to-end system analysis and solution delivery for ML and NLP analytics at UOB, ensuring scalable, compliant data platforms supporting financial crime, risk, and regulatory analytics.
BankingOnsite
Key Responsibilities
- Lead end-to-end solution delivery for data and analytics across the full SDLC
- Analyze business and regulatory requirements, translate into scalable solution designs & provide estimations
- Communicate complex technical and architectural concepts to business and senior stakeholders
- Review and approve test strategies, functional test cases, and data validation approaches
- Manage risks and issues related to scope, data quality, regulatory commitments, and delivery timelines
- Participate in product and platform evaluations (RFPs, PoCs) for data, analytics, and AI tooling
Requirements
- Proven experience delivering large-scale analytics platforms within financial services spanning structured, semi-structured, and unstructured data
- Strong capability in requirements analysis and functional design for analytics use cases involving transactional data, investigator narratives, case notes, alerts, and policy documents
- Experience defining data quality, governance, lineage, and reconciliation controls for structured and NLP-derived datasets
- Ability to define data architectures and data flows that ingest, curate, and govern unstructured and semi-structured data
- Experience translating business requirements into NLP-enabled analytical use cases such as text classification, entity extraction, risk indicator identification, summarization
- Strong understanding of machine learning concepts and statistical principles including classification vs regression, model accuracy, bias, stability, drift