Credit Risk Model Governance Specialist

3 days ago

Sydney, New South Wales, Australia BeathChapman Pte Ltd Full time
About the Role

This is a unique opportunity to join BeathChapman Pte Ltd as a Credit Risk Model Governance Specialist, where you will play a crucial role in establishing and maintaining a robust credit risk model governance framework. As a key member of our vibrant and collaborative team of Model Governance professionals, you will be responsible for managing ongoing monitoring of credit risk models, ensuring compliance with regulatory requirements, and supporting the ongoing model monitoring of the Group.

Key Responsibilities
  • Manage ongoing monitoring of credit risk (retail & non-retail) models to establish and maintain 'best practice' risk management
  • Proactively engage with credit risk modellers, product risk managers, data and system teams, project teams, independent model validators, regulatory affairs teams, and group risk governance teams to stay up-to-date with the latest developments across the Group
  • Ensure core modelling data is managed and maintained to facilitate compliance, meet business requirements, and adhere to APRA's Data Management Framework (e.g. CPG235)
  • Facilitate regular credit risk model monitoring forums and reviews of model monitoring outcomes
  • Enhance existing model monitoring framework by adopting the use of BitBucket and Tableau
  • Collaborate with various stakeholders to ensure data transition from warehouse to discovery environment to production environment is efficient and robust
  • Keep track of risk issues and resolutions, recommend remedial action required to address marginal or unsatisfactory model performance
  • Execute delivery of data requests and supporting analysis required for APRA annual IRB validation
Requirements
  • 3+ years of experience in credit risk analytics / management, with a detailed understanding of data management, business, and consumer portfolios across brands, underlying systems, and data
  • Understanding of analytics, models, and data to facilitate effective credit risk management
  • Ability to take initiatives in identifying new opportunities to enhance existing business processes through the use of statistical models and tools
  • Strong communication and stakeholder management skills, with the ability to learn and adapt
  • Tertiary qualifications (Quantitative, Actuarial, Statistics, or other relevant degree) or equivalent business experience
  • Technical orientations - SAS programming, SQL, R, Excel with VBA, Word, PowerPoint, BitBucket, and Tableau

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