Quantexa Data Engineer for AML/Financial Crime - Singapore

Bounteous; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Bounteous in Singapore is seeking experienced Quantexa Data Engineers to join a large-scale Financial Crime & Compliance transformation program for a leading banking client.

You will design, develop, and maintain scalable data pipelines with Spark and Scala, implement Quantexa AML solutions, and deploy on OpenShift/Kubernetes while collaborating with business, architecture, and engineering teams to ensure data quality and performance.

Qualifications

• 5+ years of overall experience.
• 2+ years of hands-on Quantexa experience.
• AML, Fraud Detection, Financial Crime, or Compliance project experience.
• Exposure to AWS, Azure, or GCP.
• Candidates must be willing to relocate to Singapore.
• Maximum acceptable notice period is 60 days.

Responsibilities

• Design, develop, and maintain scalable data processing pipelines using Spark and Scala.
• Implement and support Quantexa-based AML and Financial Crime solutions.
• Build and optimize enterprise-scale data engineering workflows.
• Integrate Elasticsearch-based search and analytics capabilities.
• Deploy and support applications on OpenShift/Kubernetes environments.
• Collaborate with business, architecture, and engineering teams to deliver enterprise-grade solutions.
• Ensure high standards of data quality, performance, and reliability.

Skills

Quantexa

Spark

Scala

Hadoop

AML / KYC

Financial Crime

Tools

Elasticsearch

OpenShift

Kubernetes

Job description

Bounteous in Singapore is seeking experienced Quantexa Data Engineers to join a large-scale Financial Crime & Compliance transformation program for a leading banking client.

You will design, develop, and maintain scalable data pipelines with Spark and Scala, implement Quantexa AML solutions, and deploy on OpenShift/Kubernetes while collaborating with business, architecture, and engineering teams to ensure data quality and performance.