全职 DATA System Analyst 工作, 薪水, Unison Group 公司招聘中 - Ricebowl

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