Anti-Money Laundering Data Analyst

Job Description

1. 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 ongoing monitoring and management information system.
2. To work with multiple stakeholders to obtain data and deliver outcomes.
3. To work with large data sets and visualize outputs, ensuring data accuracy and good segmentation of data sets for tactical data mining tasks.
4. To perform documentation of methodology and outputs of data analytics and perform model validation.
5. Break down complex issues and develop solutions through data analytics, and present the findings in a structured and explainable manner.
6. Leverage on data analytics to support overall AML strategies to meet MAS regulations and expectations.
7. Use advanced data modelling and analytical techniques to interpret key findings and leverage these insights in initiatives to improve efficiency and effectiveness of AML program.
8. Deliver MIS dashboard to facilitate AML compliance oversight and reporting.

Requirements

1. Bachelors or Masters Degree in a quantitative field (e.g. Statistics).
2. Fresh grads, 0-5 years of experience are welcome to apply.
3. Internship experience or working experiences in relevant data analytics role.
4. Experience in Financial crime compliance is an added advantage but not a must.
5. Proficient in SQL and Python.
6. Proficient with MS Office and Google Suite.
7. Detailed and process-oriented.
8. Ability to think innovatively.
9. Ability to present complex ideas in a concise and simple manner.
10. Ability to work under tight timelines.