Kualifikasi :

• Have an undergraduate degree in an analytical discipline (e.g. maths, statistics), however other disciplines will be considered;

• Have 5+ experience of working in credit / risk modelling for retail customers especially unsecured lending in bank or non bank;

• Have significant experience of credit modelling using statistic tool such as R, Phyton SAS, SQL analytical tools or advanced MS Excel skills;

• Previous experience building unsecured lending credit risk modelling is highly prefered.

Tanggung Jawab :

• Build credit risk modelling, analytics and reporting for retail customer;

• Partner with the product team to determine how technology help to detect and reduce risk;

• Analyze key metrics to determine risk;

• Maintain the credit model platform which is utilised by the team and expected to provide advice and guidance on ongoing efficiency gains and new credit modelling methodology.