OCBC is the longest established Singapore bank, formed in 1932 from the merger of three local banks, the oldest of which was founded in 1912. Since our incorporation, we have been enabling people and communities to realise their aspirations. This is our purpose.As the second-largest financial services group in Southeast Asia by assets, we hold one of the world’s highest credit ratings: Aa1 by Moody’s and AA- by both Fitch and S&P. Our commitment to excellence has earned us numerous industry accolades, reinforcing our reputation as one of Singapore’s best banks.With a deep history in Asia, we offer the most comprehensive coverage across ASEAN and Greater China, complemented by a presence in the leading economies of New York, London and Sydney. As One Group, we support your ambitions across borders with our deep local knowledge – be it growing your personal wealth or capturing business opportunities – for now, and beyond.OCBC offers private banking services through our wholly-owned subsidiary, Bank of Singapore, which operates on a unique open-architecture product platform to source for the best-in-class products to meet its clients’ goals.Great Eastern Holdings, our insurance subsidiary, is the oldest and most established life insurance group in Singapore and Malaysia.Lion Global Investors, our asset management subsidiary, is one of the leading asset management companies in Southeast Asia.The Group has over 400 branches and representative offices in 19 countries and regions.Key Responsibilities: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.Requirement:Bachelor’s degree in Finance, Computer Science, Data Analytics, or related discipline.At least 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.
