DATA System Analyst

Unison Group; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

Unison Group in Singapore seeks an expert in data and analytics solutions who can lead end-to-end delivery across the SDLC. The role emphasizes financial crime analytics, credit risk management, and AI-driven analytics. Ideal candidates will possess proven experience in delivering large-scale analytics platforms and the ability to translate complex requirements into actionable designs. A comprehensive skill set in data governance, quality, and NLP analytics is essential. Join to drive innovation and efficiency in a dynamic environment.

Qualifications

• Proven experience delivering large-scale analytics platforms within financial services.
• Strong capability in requirements analysis and functional design for analytics use cases.
• Experience defining data quality, governance, and reconciliation controls.

Responsibilities

• Lead end-to-end solution delivery for data and analytics across the full SDLC.
• Analyze business and regulatory requirements, translating them into scalable solution designs.
• Drive productivity, efficiency & quality improvements across delivery and operational processes.

Skills

Financial Crime Analytics

Credit Risk Analytics

AI-driven analytics

Requirements analysis

Data architecture design

NLP-enabled analytics

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.