To be responsible for driving and utilizing data analytics to develop intelligent insights for AML programs which includes customer risk-profiling, enhanced name screening, advanced on-going monitoring and management information system
To work with multiple stakeholders to obtain data and deliver outcomes
To work with large data sets and visualize outputs, ensuring data accuracy and good segmentation of data sets for tactical data mining tasks
To perform documentation of methodology and outputs of data analytics
Break down complex issues and develop solutions through data analytics, and present the findings in a structured and explainable manner
Leverage on data analytics to support overall AML strategies to meet MAS regulations and expectations
Deliver MIS dashboard to facilitate AML compliance oversight and reporting
Requirements
Bachelor's Degree, with at least 1 year of experience in a data analytics or related role.
Prior experience in Financial Crime Compliance is advantageous but not mandatory.
Proficient in SQL, Python.
Detail-oriented and process-driven, with the ability to work independently and engage effectively with stakeholders across the organization.
Strong analytical and problem-solving skills, with the ability to translate complex concepts into clear and concise insights.
A collaborative team player with excellent interpersonal, communication, and stakeholder management skills.