Senior System analyst

About the CompanyWe are a premium financial technology and enterprise data solutions provider partnering with top-tier banking institutions to manage, secure, and innovate massive data ecosystems. By combining enterprise-grade data governance, advanced processing frameworks, and highly disciplined banking architecture, we build secure systems that drive critical business intelligence and automated compliance. We focus on engineering excellence, regulatory risk mitigation, and nurturing top-tier local technical talent in Singapore.About the JobWe are seeking for Principal Business Analysts / Solution Architects In this senior, techno-functional role, you will take ownership of translating complex business, regulatory, and audit requirements into scalable data engineering models and structural solution designs.You will serve as the core translation layer between corporate compliance stakeholders, senior business leadership, and technical data science squads. This position requires an architectural mindset—allowing you to define logical data layering, orchestrate unstructured data ingestion paths within enterprise Data Lakes or Data Warehouses, and actively design compliance pipelines specialized for advanced Artificial Intelligence (AI) and Natural Language Processing (NLP) use cases.Key ResponsibilitiesSolution Architecture & Data Modeling DesignRequirements to Architecture: Analyze complex business, risk, and regulatory requirements and map them out into scalable, high-performance data solution designs.Data Layering Strategy: Define and execute logical data layering, curation strategies, and structural data modeling patterns that optimize corporate data sets for reporting, automated analytics, and AI processing.Unstructured Data Governance: Design enterprise-grade data architectures capable of handling the ingestion, curation, access control, and strict governance of unstructured data inside Data Lakes and Data Warehouse platforms.AI & NLP Use Case EnablementAI Translation: Translate complex compliance mandates into actionable, NLP-enabled analytical use cases.Text & Risk Analytics: Orchestrate data preparation and architectural pathways supporting downstream Text Classification, Named Entity Extraction (NER), automated Risk Indicator Identification, and generative Case/Alert Summarization models.Project Governance & Stakeholder AlignmentTechnical Consultation: Communicate highly technical data modeling, algorithmic, and architectural concepts to non-technical business units and senior executive stakeholders in a simplified, clear manner.Project Engineering Estimation: Formulate detailed project effort estimations, resource mapping, and technical delivery roadmaps for end-to-end projects and unexpected system change requests.Quality Assurance & Validation: Review, audit, and approve comprehensive QA test strategies, functional test cases, and rigorous data validation approaches to guarantee data integrity before production deployment.Skills & Experience RequiredMust-Have Skills (Mandatory for Skills Matching)Data Solution Architecture: Proven techno-functional experience translating regulatory compliance mandates into enterprise-level data models and data warehouse solution designs.Data Modeling & Layering: Deep, practical knowledge of logical data layering, data profiling, and advanced data curation frameworks.Unstructured Data Ingestion: Solid experience architectural mapping for unstructured or semi-structured data pipelines inside enterprise Data Lakes or Data Warehouses.AI / NLP Project Delivery: Practical experience defining data boundaries and business requirements tailored for AI/NLP applications (e.g., text categorization, entity extraction, or automated summaries).Stakeholder Management: Exceptional communication skills with a proven track record of managing and steering senior banking, risk, or compliance stakeholders.Good-to-Have SkillsFamiliarity with enterprise data warehousing engines (e.g., Teradata, Cloudera Hadoop, or cloud data warehouses).Foundational understanding of MLOps pipelines or how data pipelines feed machine learning platforms.Prior experience navigating complex compliance systems, risk analytics, or anti-money laundering (AML)/transaction monitoring data domains within a tier-1 banking ecosystem.Qualifications & Engagement TermsBachelor’s or Master’s degree in Computer Science, Data Architecture, Business Analytics, Information Systems, or a related quantitative discipline.Strong analytical, scoping, and project estimation capabilities.Positions Available: 2.How to ApplyPlease click on the 'apply' button to apply online. For more information, please reach out to Vievien Nathan.EA License Number: 94C3609