Actimise Specialist — AML Solutions Architect

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

Job summary

Actimise Specialist role at Epergne Solutions in Singapore requires 5+ years experience in NICE Actimise (SAM v9/v10). You will support development, configuration, and application support in an AML environment.

You will design, develop, test, and implement Actimise solutions (SAM, CDD, WLF), provide L2 support, manage batch scheduling with Control-M, tune scenarios to reduce false positives, and integrate across UNIX/Linux, SQL databases, and AML workflows.

Qualifications

• Strong expertise in NICE Actimise SAM (v9/v10), Modeler, and Risk Case Manager.
• Solid SQL skills (Oracle/SQL Server).
• Experience with UNIX/Linux and Shell scripting.
• Knowledge of Control-M or similar batch scheduling tools.
• Good understanding of AML, KYC, and transaction monitoring.
• Experience in large-scale enterprise Actimise implementations.

Responsibilities

• Design, develop, test, and implement NICE Actimise solutions (SAM, CDD, WLF).
• Provide L2 application support, troubleshooting, and system maintenance.
• Manage Actimise batch framework, job scheduling, and performance tuning using Control-M.
• Perform scenario tuning to reduce false positives while ensuring regulatory compliance (MAS).
• Handle technical integrations across UNIX/Linux, shell scripting, and Oracle/SQL Server databases.
• Collaborate with Compliance, AML, and business stakeholders.

Skills

Actimise SAM v9/v10

Actimise Modeler

Risk Case Manager

Education

Degree in Computer Science

Finance or Banking degree

Tools

UNIX/Linux

Shell scripting

Control-M

Oracle

SQL Server

Job description

Actimise Specialist role at Epergne Solutions in Singapore requires 5+ years experience in NICE Actimise (SAM v9/v10). You will support development, configuration, and application support in an AML environment.

You will design, develop, test, and implement Actimise solutions (SAM, CDD, WLF), provide L2 support, manage batch scheduling with Control-M, tune scenarios to reduce false positives, and integrate across UNIX/Linux, SQL databases, and AML workflows.