Job Description

  • 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.

  • 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.