Data Scientist
Current- Data-driven support for the banking industry in the field of Anti-Money Laundering (AML) and financial crime.
- Developing and enhancing AML system code using Python and PySpark
- Optimizing transaction monitoring (TM) scenarios by applying statistical methods and machine learning algorithms
- Delivering analysis results and insights in the form of visualizations and reports for clients in the banking sector
- Member of the Financial Crime Technology team