Retail Credit Risk Analytics

1 week ago

Jakarta, Jakarta, Indonesia Indodana Full time
Job Description
  • Build credit risk modelling, analytics and reporting for retail customer
    • Strategically hire, train, and manage risk teams
  • Partner with product team to determine how technology help to detect and reduce risk.
  • Previous experience building unsecured lending credit risk modelling is highly proffered.
  • Analyze key metrics to determine risk.
  • Mentoring and supporting junior members of the team will be a key part of the role, in both technical data manipulation skills and documentation delivery.
  • 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.
Qualifications
  • Have an undergraduate degree in an analytical discipline (e.g. maths, statistics), however other disciplines will be considered
  • Have 3+ 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
  • Have strong verbal and written skills that ensure you can explain technical concepts to less technically focused colleagues and produce suitable documentation
  • Be organised, approachable, confident in engaging with stakeholders at all levels and a keen attention to detail
  • Experience of reporting in a Financial environment.
  • Experience and/or understanding of: data validation and verification techniques, advanced data manipulation techniques, development and production lifecycles, error handling, and automated reporting generation.

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