System Analyst- DATA

Quesscorp Singapore Pte Ltd; Singapore; In loco; SGD 70.000 - 110.000; Tempo pieno

Descrizione del lavoro

Quesscorp Singapore Pte Ltd is seeking a System Analyst - DATA in Singapore for a 12-month renewable contract. The role focuses on end-to-end delivery of enterprise data and analytics solutions, leveraging both traditional and modern data architectures to support AI initiatives.

Salary is competitive and the position offers exposure to Financial Crime Analytics and risk analytics. You will lead requirements analysis, solution design, testing, implementation, and production support, ensuring

Competenze

• Bachelor's degree in computer science, engineering, or equivalent practical experience.
• Experience delivering data analytics platforms across structured and unstructured data.
• Ability to translate business and regulatory requirements into scalable designs.
• Strong knowledge of NLP-enabled analytics and AI use cases.
• Experience with data governance, lineage, and quality controls.

Mansioni

• Lead end-to-end data and analytics solution delivery across the full SDLC.
• Translate regulatory and business requirements into scalable designs and estimates.
• Communicate complex concepts to business and senior stakeholders clearly.
• Review test strategies and data validation approaches.
• Lead data governance, lineage and reconciliation controls.
• Drive AI tooling evaluations and PoCs for data platforms.
• Design data architectures supporting NLP and AI-driven analytics.

Formazione

Bachelor's degree in CS/Engineering

Experience with data analytics platforms

Strumenti

Apache Iceberg

Delta Lake

Spark

Trino/Presto

Hive

Power BI

QlikSense

Informatica

Descrizione del lavoro

Details are:

Role: System Analyst - DATA

Work location:Singapore

Salary: Competitive

Job mode: 12-month renewable contract

Responsibilities:

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.

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 Skill Sets:

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, and related-party and concentric risk detection

Key Skills:

Certifications

At least two relevant technical certifications across data platforms, cloud, or analytics technologies.

Data Platforms & Architecture

• Open table formats: Apache Iceberg, Delta Lake, Apache Hudi
• Distributed processing & query engines: Spark, Trino/Presto, Hive
• Cost optimisation strategies: tiered storage, lifecycle management, workload governance

Programming & Analytics

• SQL, BTEQ, GCFR
• Python (Pandas, NumPy)
• BI & visualization tools: Power BI, QlikSense

Data Integration & Quality

• Informatica suite: PowerCenter, BDM, IDQ, Enterprise Data Catalogue
• Data ingestion patterns: batch, CDC, streaming
• Data validation, quality controls, and reconciliation frameworks within environments

Governance, Risk & Compliance

• Data modelling, critical data elements, regulatory reporting
• Fine-grained data access controls (row-level, column-level, masking)
• Metadata management, lineage, and impact analysis
• Compliance with BCBS 239, MAS, AML/CFT, and internal data standards

Big Data Platforms

• Cloudera Hadoop distribution: Hive, Impala, Spark, Iceberg, Trino

EDUCATION

• Bachelor's degree in computer science, Engineering, or equivalent practical experience