Kerja Sepenuh Masa, Data Solution Architect - Risk - Financial Crime Analytics di Randstad Singapore - Maukerja

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.

Please click on the 'apply' button to apply online. For more information, please reach out to Naveen Vasudevan. (EA: 94C3609 / R1330844)

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