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:Lead threshold tuning and scenario calibration to improve alert precision and reduce false positives.Collaborate with Group and local stakeholders on system design, configuration, and strategic enhancements.Oversee AI/ML model integration, performance monitoring, and governance for suspicious activity detection.Manage system upgrades, UAT, and deployment of new detection logic with minimal disruption.Maintain clear documentation for system settings, tuning decisions, and model governance.Monitor system metrics and deliver actionable insights to senior management and regulators.Develop and maintain scripts (e.g., SQL) for data extraction, scenario testing, and performance analysis.Support alert reviews and investigations during peak periods or for complex cases.Apply network analytics and link analysis to uncover hidden relationships and transaction patterns.Contribute to the development of dashboards and reports for management and regulatory reporting.Provide expert support during audits, inspections, and risk reviews.Stay current of emerging technologies and regulatory trends in AI-driven surveillance and transaction monitoring.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.Strong understanding of AML typologies, regulatory standards, and transaction monitoring platforms (e.g., Actimize, Mantas, SAS).Proven experience in threshold tuning, scenario calibration and system configurationProficiency 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.#LI-SL1What 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.
