Lensys
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AML Business Analyst

Translate complex anti-money laundering regulations into precise functional solutions that detect, triage, and escalate suspicious activity. Bridge compliance, operations, and technology to build scalable AML monitoring that stands up to regulatory scrutiny.

CONTEXT

Our client, a major player in its sector, is reinforcing its defenses against financial crime. Anti-Money Laundering is no longer a compliance checkbox; it is a strategic capability that requires sharp detection, efficient triage, and defensible escalation. The organization is redesigning its AML monitoring and detection landscape to handle growing transaction volumes, evolving regulations, and increasingly sophisticated threats. This mission sits at the intersection of compliance, operations, data, and technology, where clear business analysis can turn regulatory text into working solutions.

ACTIVITIES

  • Elicit, analyze, and document business, compliance, and functional requirements related to AML monitoring and detection.
  • Translate regulatory requirements into functional and technical specifications that development teams can implement.
  • Redesign AML processes, including alert triage and L1/L2/L3 escalation paths.
  • Specify detection logic parameters, thresholds, scenarios, and data inputs.
  • Design test conditions and support acceptance testing to ensure solutions meet compliance expectations.
  • Manage requirements traceability from regulation to implementation and testing.
  • Collaborate closely with operational teams, compliance officers, architects, and IT delivery squads.
  • Facilitate workshops and maintain clear documentation for audit and regulatory scrutiny.

EXPECTED ACHIEVEMENTS

  • High-quality AML solutions that improve detection accuracy and reduce false positives.
  • Efficient and scalable alert triage and escalation processes.
  • Clear traceability from regulatory requirements to delivered functionality.
  • Strong alignment between compliance, operations, and technology teams.
  • A durable AML operating model that can adapt to future regulatory changes.

ENVIRONMENT

  • Anti-Money Laundering, financial crime compliance, and regulatory frameworks.
  • Business analysis, requirements engineering, process modeling, and functional specification.
  • Data analysis, SQL, Jira, Confluence, Visio, and testing tools.
  • Collaborative, cross-functional environment with compliance, operations, architecture, and IT stakeholders.