Extract information from a wide variety of sources including quantitative, qualitative and big data.
Perform a comprehensive analysis of customers' data to reflect the AML/CFT risks by applying computer-aided statistical modeling software.
Identify, analyze and interpret trends or patterns in complex data sets.
Develop database, data collection system, and other strategies that optimize statistical efficiency and quality to generate actionable insights.
Any other duties/assignments as and when directed/assigned by the superior as per business requirement from time to time.
Degree in Computer Science (Data Science), Machine Learning/Artificial Intelligence, Statistic/Applied Mathematic or any related disciplines with more than 5 years of working experience in the Banking industry.
Familiar with Phyton/MATLAB/SAS/SPSS.
Possess experience in data mining, machine learning, user modelling and data visualization.
Good writing, presentation and analytical skills.
Assertive and innovative team player, highly independent, committed, self-motivated and resourceful.