DATA System Analyst

Job description

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

Required skills

ai rfp sdlc nlp risk management innovation testing data governance basel analytics data quality root cause analysis modernization implementation performance management data architecture regulatory requirements structured data requirements analysis management reporting transaction monitoring data validation technical concepts regulatory reporting estimations case notes production support business requirements solution design delivery processes credit scoring datamart quality improvement operational processes productivity improvement summarization efficiency improvement delivery timelines financial reconciliation data lineage allocation unstructured data poc data discovery data platforms ifrs9 alerts issue management decision systems npl data flows ai tooling policy documents customer due diligence ai-driven analytics sanctions screening data cataloguing test strategies text classification semi-structured data knowledge graph functional test cases architectural concepts preventive controls credit risk analytics ai enablement counterparty risk finance analytics financial crime analytics regulatory commitments production support team payments screening credit risk exposure investigator narratives customer communications documents reconciliation controls nlp-derived datasets text categorization entity extraction relationship extraction risk indicator identification relationship-based analytics knowledge layer relationship taxonomies entity resolution rules linkage logic network-based risk identification hidden association analysis indirect exposure analysis related-party risk detection concentric risk detection

DATA System Analyst

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