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Retail Credit Scoring Head (Vp)

Company

Michael Page

Address Area DKI Jakarta, Indonesia
Employment type FULL_TIME
Salary
Category Perbankan,Akuntansi
Expires 2023-08-28
Posted at 9 months ago
Job Description

As the credit scoring head, you will be responsible in the stage and process of development, implementation, reviewing of the retail credit scoring.

Client Details

Our client is a leading multinational bank, currently on the stage of business expansion.

Description

  • Monitor, back test and report performance of the models.
  • Develop in-depth knowledge and expertise in rating methodologies.
  • Develop, implement and maintain credit retail scorecards and segmentation models for the measurement and management of credit risk of the Bank's consumer and emerging business portfolios.
  • Build credit risk modelling, analytics and reporting for retail consumer segment.
  • Engage with auditors and regulators to ensure compliance with relevant requirements
  • Active engagement with stakeholders to develop analytic solutions using outputs from such models in credit decisioning, business strategies, risk appetite setting, provisioning and capital assessment
  • Collaborate closely with product team to determine how technology help to detect and reduce risk.
  • Work closely with independent model validators to ensure adherence to the governance framework and validation standards for model deployment and ensure timely closure of validation issues.
  • Develop and maintain user requirements, parameters and configurations of rating systems.

Profile

  • Experience of reporting in a Financial environment.
  • Have strong verbal and written skills that ensure you can explain technical concepts to less technically focused colleagues and produce suitable documentation
  • Hold minimum of Bachelor degree in an analytical discipline (e.g. maths, statistics),or related fields.
  • Confident in engaging with stakeholders at all levels and a keen attention to detail
  • Have significant experience of credit modelling using statistic tool such as R, Phyton SAS, SQL analytical tools or advanced MS Excel skills
  • Experience and/or understanding of: data validation and verification techniques, advanced data manipulation techniques, development and production lifecycles, error handling, and automated reporting generation.
  • Minimum of 10+ years of experience of working in credit / risk modelling for retail customers especially unsecured lending in bank or non bank

Job Offer

  • Competitive Remuneration
  • Fast-paced environment
  • Career Progression

To apply online please click the 'Apply' button below. For a confidential discussion about this role please contact Christina Sutiono on +62 21 2958 8849.