Job Description:

• Develop fraud management model e.g. Customer Transaction Frauds, Fraud detection, etc. by using predictive/prescriptive analytics.
• Devise statistical tools/methods to mitigate risk for high-risk product and segment.
• Research on new cutting-edge technology and techniques in Machine Learning, Article Intelligence, Optimization, or related technical fields.
• Work closely with business and IT solution architectural to ensure delivering practical analytics solutions on time.

Qualification:

• Bachelor/ Master’s degree in Data Science, Engineering, Statistics, Economics, or any related fields.
• Minimum 5 year of Analytics Modeling using one of the following languages; R, Python, MATLAB, Scala, Java, C# or C++.
• Intermediate level of SQL.
• Positive attitude and Team-working mindset.
• Experienced in working with Fraud management, Data Science methodology and/or Banking knowledge will be an advantage.
• Analytical thinking, problem solving and able to learn new things.