Data Solution Architect - Risk & Financial Crime Analytics

Randstad Singapore; Singapore; In loco; SGD 180.000 - 240.000; Tempo pieno

Descrizione del lavoro

Randstad Singapore is seeking a senior data architecture leader to design and deliver scalable analytics platforms across the full software lifecycle. You will translate complex regulatory and business needs into robust architectural designs, while reviewing testing strategies and data quality controls to protect platform integrity.

The role requires hands-on with Spark, Trino/Presto, Hive, and modern open table formats; you will champion data governance, lineage, and security in banking

Competenze

• Experience delivering enterprise analytics and data architectures in banking or regulatory domains.
• Proficiency with modern data tooling and governance practices.
• Hands-on data integration and engineering with big data stacks.

Mansioni

• Lead design and delivery of scalable analytics platforms across the SDLC.
• Translate business and regulatory needs into robust architectural designs.
• Review testing strategies, validation controls, and reconciliation frameworks.
• Evaluate new data tooling and run proof-of-concept initiatives.
• Develop architectures for NLP, entity resolution, and network analytics.
• Collaborate with delivery and support teams to resolve incidents and ensure data quality.

Conoscenze

Enterprise data architecture

Financial crime analytics

Big data & distributed engines

Data governance

Data lineage

Knowledge graphs & relationships

Regulatory data management

Strumenti

Spark

Trino/Presto

Hive

Apache Iceberg

Delta Lake

Apache Hudi

Informatica PowerCenter

Descrizione del lavoro

about the company

A established global banking and financial services group recognized for its resilient technological infrastructure and international presence. The organization is dedicated to operational excellence, sound corporate governance, and continuous innovation in enterprise intelligence platforms.

about the job

Take the lead on designing and delivering scalable enterprise data and advanced analytics solutions across the complete software development lifecycle.

• Drive end-to-end solution delivery for large-scale analytics platforms, translating complex business and regulatory needs into robust architectural designs.
• Review, refine, and approve testing strategies, validation controls, and reconciliation frameworks to protect platform integrity.
• Evaluate emerging data and analytics tooling, collaborating on proof-of-concept initiatives to advance enterprise modernization.
• Formulate technical architectures supporting natural language processing, entity resolution rules, and relationship-driven network analytics.
• Partner cross-functionally with technical delivery and support specialists to resolve incidents, perform root cause analysis, and reinforce data quality controls.

skills and experience required

• Substantial expertise delivering enterprise systems analysis and modern data architecture within corporate banking, financial crime, or credit risk domains.
• Hands-on proficiency in distributed processing and query engines such as Spark, Trino, Presto, or Hive, alongside open table formats like Apache Iceberg, Delta Lake, or Apache Hudi.
• Advanced scripting and data manipulation capabilities using SQL, BTEQ, Python, and enterprise data integration tools like Informatica PowerCenter or Big Data Management.
• Strong technical background designing data pipelines that ingest and govern structured, semi-structured, and unstructured text datasets for natural language processing applications.
• Proven understanding of data governance, data lineage, fine-grained access security, and regulatory data management standards in banking environments.

Desired Skills and Experience

Enterprise Data & Solution Architecture, Financial Crime Analytics, Big Data & Distributed Query Engines, Open Table Formats & Storage Optimization, Data Integration & ETL/ELT Pipelines, Data Governance, Quality & Lineage, Knowledge Graphs & Relationship Analytics