AML Systems Analyst: Watchlist & Data Integration

PERSOL SINGAPORE PTE. LTD.

Singapore

On-site

SGD 120,000 - 180,000

Full time

5 days ago
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Job summary

PERSOL Singapore PTE. LTD. is seeking an experienced AML screening professional to design and implement watchlist intake, screening rules, and data workflows.

You will collaborate with Compliance, Risk, Operations, and Technology teams and external vendors to map requirements to scalable, low-latency solutions that align with MAS/FATF standards. The role emphasizes data governance, testing governance, UAT, and documentation, with a focus on reducing false positives while maintaining regulatory

Qualifications

  • Bachelor's degree with 6+ years in application testing, development and delivery.
  • 6+ years of functional experience in Financial Crime, AML, or Sanctions compliance technology.
  • Solid understanding of Software Development Life Cycle (SDLC).
  • Strong communicator with analytical mindset and problem-solving skills.

Responsibilities

  • Define, document, and map integration specs between AML screening tools and core systems.
  • Configure systems to ingest and reconcile watchlist data (Sanctions, PEP, Adverse Media).
  • Design event-driven workflows for real-time alerts to case management systems.
  • Develop and tune fuzzy matching rules and screening parameters to reduce false positives.
  • Establish data quality frameworks, validation rules, and data lineage controls.

Skills

AML Compliance
Data Integration
REST APIs
Data Quality
Regulatory Knowledge

Education

Bachelor's degree

Job description

PERSOL Singapore PTE. LTD. is seeking an experienced AML screening professional to design and implement watchlist intake, screening rules, and data workflows.

You will collaborate with Compliance, Risk, Operations, and Technology teams and external vendors to map requirements to scalable, low-latency solutions that align with MAS/FATF standards. The role emphasizes data governance, testing governance, UAT, and documentation, with a focus on reducing false positives while maintaining regulatory

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