Data Modelling Specialist

2 weeks ago

Sydney, New South Wales, Australia beBeeCreditRiskManagement Full time $120,000 - $180,000
Model Governance Professional

The Role:

This role is part of a dynamic team responsible for establishing and maintaining robust credit risk model governance frameworks, as well as supporting ongoing model monitoring within the organization.

Key Accountabilities include:

  • Manage ongoing monitoring of credit risk (retail & non-retail) models to establish and maintain 'best practice' risk management.
  • Engage with credit risk modellers, product risk managers, data and system teams, project teams, independent model validators, regulatory affairs team and group risk governance team to keep up-to-date with most recent developments across the organization.
  • Ensure core modelling data is managed and maintained to facilitate compliance, meet business requirements and APRA's Data Management Framework.
  • 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 stakeholders to ensure efficient and robust data transition from warehouse to discovery environment to production environment.
  • Track risk issues and resolutions, recommending remedial action to address marginal or unsatisfactory model performance.
  • Deliver data requests and supporting analysis required for APRA annual IRB validation.

The Requirements:

  • 3+ years experience in credit risk analytics / management, with 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.
  • Good communication and stakeholder management skills, with 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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