Executive/Manager, Threat Intelligence & Analytics

Maybank Singapore; Singapore; On-site; SGD 120,000 - 170,000; Full time

Job summary

Maybank Singapore is seeking an experienced professional to lead the development of its financial crime threat intelligence capabilities. You will monitor regulatory developments and industry trends, and conduct strategic analyses of fraud and money-laundering typologies.

The role requires collaboration across Compliance, Fraud Risk, and Technology teams to strengthen detection and monitoring. The ideal candidate has 5–8 years in financial crime domains, strong data analytics skills, and

Qualifications

• Bachelor's degree in a related discipline as listed.
• 5–8 years in Financial Crime Compliance, AML/CFT, Fraud Risk, or Threat Intelligence.
• Strong understanding of AML/CFT regulations, MAS requirements, sanctions, and fraud risk.

Responsibilities

• Lead development and enhancement of financial crime threat intelligence capabilities.
• Monitor external/internal threat intelligence, regulations, and trends.
• Conduct strategic and tactical analysis of financial crime typologies and threats.
• Use data analytics to identify patterns and anomalies signaling risks.
• Produce intelligence reports, risk assessments, and management information.
• Collaborate with Compliance, AML/CFT, Fraud Risk, Business Units, and Tech teams.
• Enhance transaction monitoring scenarios, rules, and indicators via intelligence.
• Participate in investigations with intelligence analysis and risk assessments.
• Engage with industry forums, regulators, and law enforcement on threats and best practices.
• Drive automation, data visualization, and analytics to improve capabilities.
• Support regulatory exams, audits, and internal reviews related to financial crime intelligence.

Skills

Data analytics

Threat intelligence

Risk assessment

Investigations

Collaboration

Education

Bachelor's Degree in Business, Finance, Accounting, Data Analytics, Information Systems, Criminology, or a related discipline

Tools

SQL

SAS

Python

Power BI

Tableau

Actimize

NetReveal

Job description

• Lead the development and enhancement of financial crime threat intelligence capabilities to identify emerging money laundering, fraud, sanctions, and other financial crime risks.
• Monitor and assess external and internal threat intelligence sources, regulatory developments, and industry trends to identify potential impacts on the Bank.
• Conduct strategic and tactical analysis of financial crime typologies, suspicious activities, and emerging threats across the Non-Retail portfolio.
• Utilize data analytics and intelligence tools to identify patterns, trends, and anomalies that may indicate financial crime risks.
• Produce intelligence reports, risk assessments, and management information to support decision-making and risk mitigation efforts.
• Collaborate with Compliance, AML/CFT, Fraud Risk Management, Business Units, and Technology teams to strengthen detection and monitoring capabilities.
• Support the enhancement of transaction monitoring scenarios, detection rules, and risk indicators through intelligence-led insights.
• Participate in financial crime investigations by providing intelligence analysis and risk assessments where required.
• Engage with industry forums, regulatory bodies, and law enforcement agencies to maintain awareness of emerging threats and best practices.
• Drive automation, data visualization, and analytical initiatives to improve operational effectiveness and intelligence capabilities.
• Support regulatory examinations, audits, and internal reviews relating to financial crime intelligence and analytics.

Job Requirement:

• Bachelor's Degree in Business, Finance, Accounting, Data Analytics, Information Systems, Criminology, or a related discipline.
• Minimum 5-8 years of experience in Financial Crime Compliance, AML/CFT, Fraud Risk Management, Financial Intelligence, Transaction Monitoring, or Threat Intelligence within the banking or financial services industry.
• Strong understanding of AML/CFT regulations, MAS requirements, sanctions, fraud risk, and financial crime typologies.
• Experience in intelligence analysis, risk assessment, transaction monitoring, investigations, or financial crime analytics.
• Familiarity with data analytics, visualization, and intelligence tools such as SQL, SAS, Python, Power BI, Tableau, Actimize, NetReveal, or equivalent platforms is advantageous.
• Professional certifications such as ACAMS, ICA, CFE, CAMS-Audit, or related certifications will be an added advantage.