SVP, Anti-Money Laundering Data Analytics (AML)
UOB(2 months ago)
About this role
A Data Scientist specializing in Anti-Money Laundering (AML) and Financial Crime Risk analytics at UOB. The role focuses on applying advanced analytics, predictive modeling and automation to support data-driven AML risk management across the bank. The position works with cross-functional teams to align analytics with regulatory and business priorities.
Required Skills
- AML Risk
- Financial Crime
- Predictive Modeling
- Data Mining
- Data Visualization
- Power BI
- Qlik Sense
- Python
- SQL
- SAS
+5 more
Qualifications
- Bachelor's Degree in Data Science, Computer Science or Statistics
- Master's Degree in Data Science, Computer Science or Statistics
About UOB
uobgroup.comUOB is rated as one of the world's top banks, with a global network of 500 branches and offices across 19 countries and territories in Asia Pacific, Europe and North America.
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