Risk Model Governance Professional

1 week ago

Sydney, New South Wales, Australia beBeeGovernance Full time $120,000 - $150,000
Risk Model Governance Specialist

The role of the Risk Model Governance Specialist is to establish and maintain a robust credit risk model governance framework, supporting the ongoing model monitoring of the Group.

Key Responsibilities:

  • Manage ongoing monitoring of credit risk (retail & non-retail) models to establish 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 recent 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 BitBucket and Tableau
  • Collaborate with stakeholders to ensure efficient and robust data transition from warehouse to discovery environment to production environment
  • Keep track of risk issues and resolutions, recommending 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 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
  • Take initiatives in identifying new opportunities to enhance existing business processes through 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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