AML Data Analyst - Compliance & ML Monitoring

SCIENTE INTERNATIONAL PTE. LTD.; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

SCIENTE INTERNATIONAL PTE. LTD. is seeking a Data Analyst to support compliance monitoring and AML analytics within the bank.

The role involves analyzing surveillance alerts and AML/CFT investigation data processing, and assisting in optimizing surveillance systems and ML models to enhance monitoring effectiveness. The ideal candidate has at least 2 years of data analytics experience, strong data interpretation skills, and the ability to communicate with business stakeholders.

Qualifications

• Must have minimum 2 years of experience in data analytics.
• Experience analyzing transaction monitoring or compliance surveillance alerts.
• Strong data analysis skills with the ability to interpret large datasets.
• Good communication skills and ability to work with business stakeholders.
• Experience in AML/CFT or compliance surveillance within banking is preferred.
• Exposure to analytics or machine learning models used in compliance monitoring.
• Experience supporting system tuning or optimization initiatives.

Responsibilities

• Analyze and work with business units on issues or queries related to compliance surveillance systems.
• Process and analyze data supporting AML/CFT investigations and monitoring activities.
• Support tuning and optimization of compliance surveillance systems.
• Assist in tuning and optimization of machine learning models used in compliance monitoring.
• Participate in compliance surveillance system support and analytics-related initiatives.

Skills

Data analytics

Transaction monitoring

Data interpretation

Communication

AML/CFT knowledge

Job description

SCIENTE INTERNATIONAL PTE. LTD. is seeking a Data Analyst to support compliance monitoring and AML analytics within the bank.

The role involves analyzing surveillance alerts and AML/CFT investigation data processing, and assisting in optimizing surveillance systems and ML models to enhance monitoring effectiveness. The ideal candidate has at least 2 years of data analytics experience, strong data interpretation skills, and the ability to communicate with business stakeholders.