WHO WE ARE:

As Singapore’s longest established bank, we have been dedicated to enabling individuals and businesses to achieve their aspirations since 1932. How? By taking the time to truly understand people. From there, we provide support, services, solutions, and career paths that meet their individual needs and desires.

 Today, we’re on a journey of transformation. Leveraging technology and creativity to become a future-ready learning organisation. But for all that change, our strategic ambition is consistently clear and bold, which is to be Asia’s leading financial services partner for a sustainable future.

 We invite you to build the bank of the future. Innovate the way we deliver financial services. Work in friendly, supportive teams. Build lasting value in your community. Help people grow their assets, business, and investments. Take your learning as far as you can. Or simply enjoy a vibrant, future-ready career.

Your Opportunity Starts Here.

What you will be doing:
•    Conduct and review transaction surveillance investigations, including complex and high-risk cases.
•    Identify unusual transaction patterns, suspicious activities and emerging AML typologies through detailed analysis.
•    Apply data analytics, network analytics and link analysis to uncover hidden relationships and financial crime risks.
•    Support regulatory examinations, audits and risk reviews relating to transaction surveillance.
•    Lead and execute threshold tuning, scenario calibration and optimisation to improve alert quality and surveillance effectiveness.
•    Partner with Group and internal stakeholders on transaction surveillance system enhancements, configuration changes and strategic initiatives.
•    Support AI/ML model implementation, monitoring and governance for suspicious activity detection.
•    Manage system upgrades, UAT testing and deployment of new detection scenarios.
•    Develop and maintain documentation for system configuration, tuning decisions and governance requirements.
•    Monitor system performance and provide insights to support management decision-making.
•    Develop SQL and/or Python scripts for data analysis, scenario testing and reporting.
•    Keep abreast of emerging AML typologies, regulatory developments and surveillance technologies.

What we are looking for:
•    Bachelor’s degree in Finance, Computer Science, Data Analytics, or related discipline.
•    6–8 years of experience in AML surveillance, with exposure to AI-based detection systems.
•    ECF-AAMLP certification or above is required.
•    Strong understanding of AML typologies, regulatory standards, and transaction monitoring platforms.
•    Proven experience in threshold tuning, scenario calibration and system configuration.
•    Proficiency in SQL and Python for data extraction, analysis, and scenario testing.
•    Proven ability to manage cross-functional initiatives and collaborate with Group-level stakeholders.
•    Strong communication, analytical thinking, and stakeholder engagement skills.

What we offer:

Competitive base salary. A suite of holistic, flexible benefits to suit every lifestyle. Community initiatives. Industry-leading learning and professional development opportunities. Your wellbeing, growth and aspirations are every bit as cared for as the needs of our customers.