Lead a team of credit risk model experts across Australia and India
Recruitment, retention, coaching, and career development
Planning, monitoring, and finalising model validation tooling and activities
Maintaining the quality and consistency of team deliverables, including leading some individual validation activities
Drive strategic transformation
Leading the development of tooling to accelerate validation workflows
Embed changes to model validation frameworks
Lead continuous improvement in model monitoring methodology and metrication
Collaborate with key stakeholders Model development, model owner and monitoring teams
Regulatory presentations and responses
Requirements
~10 years hands-on experience in model development and/or validation
Degree in Statistics, Mathematics, Data Science, Physics, Engineering, Computer Science, Actuarial Studies, or related field
Advanced knowledge of APRA's prudential regulation, standards and guidance for models used to calculate Risk Weighted Assets and AASB9 requirements for provisioning models.
Familiarity with model risk governance and validation processes.
Fluency in coding languages such as R/SQL/Python.
Advanced knowledge of well-established and emerging statistical modelling and modern data science methodologies and tools: Quarto/JupyterLab, and Git / Github / Github Copilot.
Experience with AWS Sagemaker, AWS Bedrock, and H2O.ai is preferable.
Sound understanding of software engineering concepts to support the development of tooling - experience in generative AI preferable.
Benefits
Health insurance
Retirement plans
Paid time off
Flexible work arrangements
Professional development
Job title
Chapter Lead – Credit Model Validation, Model Risk Validation
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