Job Description

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 Datamarts 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.

Requirements

• 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, semistructured, 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 dataquality, governance, lineage, and reconciliation controls for both structured and NLP-derived datasets.