DATA System Analyst

SCOPE OF THE ROLE: You will be responsible for end-to-end delivery of enterprise data and analytics solutions leveraging traditional and modern Data architecture. Experience with Financial Crime Analytics, Finance & Credit Risk Analytics, Credit Scoring & Decision systems, Retail & Wholesale DataMart's will of advantage. The role spans requirements analysis, solution design, testing, implementation, and production support ensuring high-quality, scalable, and compliant data platforms that support advanced analytics and AI initiatives. Key Responsibilities • Lead end-to-end solution delivery for data and analytics across the full SDLC • Analyze business and regulatory requirements, translate them into scalable solution designs & provide estimations • Communicate complex technical and architectural concepts to business and senior stakeholders in a clear, simplified manner • 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 • Partner with production support team to conduct root cause analysis, resolution, and preventive controls • Lead innovation and modernization initiatives, including data discovery, cataloguing, governance, and AI enablement • Drive productivity, efficiency & quality improvements across delivery and operational processes • Ability to design data architectures supporting NLP and AI-driven analytics Functional Skillsets Analytics Domains • Financial Crime Analytics Transaction Monitoring, Customer Due Diligence, Sanctions & Payments Screening • Finance & Credit Risk Analytics Financial reconciliation, Allocation, Performance management, Regulatory and Management reporting, Credit risk exposure, NPL, Counterparty risk, Basel & IFRS9 input variables Enterprise Data, Analytics & Unstructured Data Enablement 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 and alerts, Policy & Customer communications documents • Experience defining data quality, governance, lineage, and reconciliation controls for both structured and NLP-derived datasets Unstructured Data & NLP-Enabled Analytics • Ability to define data architectures and data flows that ingest, curate, and govern unstructured and semi-structured data within enterprise data platforms • Experience translating business requirements into NLP-enabled analytical use cases, such as Text classification and categorization, Entity & relationship extraction, Risk indicator identification, Summarization of alerts, cases, or documents Knowledge Graph & Relationship‑Based Analytics • Ability to design and govern an enterprise knowledge layer defining relationship taxonomies, entity resolution rules, and linkage logic • Ability to translate use cases into relationship‑driven analytical designs, such as Network‑based risk identification, Hidden association and indirect exposure analysis, Related‑party and concentric risk detection