Risk & Data Science Manager

Description

The Risk Modelling Professional will play a significant role in developing and monitoring risk models or machine learning algorithms that will support strategic initiatives of the business.

Qualifications :

• Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Actuarial, Economics, or other related courses.
• Post-graduate degree in Business, Computer science, Statistics, Mathematics, Actuarial, Economics, and Business is an advantage
• At least 5 years' exposure in risk modelling
• Experience in banking / digital banking environment is an advantage
• Knowledgeable in general risk modeling process
• Demonstrates knowledge and skills to develop and interpret scorecards (Application and Behaviour Scorecards)
• Demonstrates skills in either R, Python, SAS, or SPSS
• Above average skills in documentation and technical writing
• Above average skills in MSOffice, particularly excel
• Highly analytical and possess good EQ to work in a fast-paced and very dynamic environment