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Sydney
1 week ago
Chapter Lead (Executive Manager) - Data Science and Gen AI, Model Risk Validation logo

Chapter Lead (Executive Manager) - Data Science and Gen AI, Model Risk Validation

Commonwealth Bank

Sydney
1 week ago
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Chapter Lead (Executive Manager) - Data Science and Gen AI, Model Risk Validation

CommBank is seeking a Chapter Lead (Executive Manager) for Data Science and Gen AI in Model Risk Validation to lead a team of data scientists across Australia and India. The role involves driving excellence in model validation, developing tooling, and engaging senior stakeholders. Requires deep knowledge of GenAI, advanced Python, and leadership experience.

Core AIHybridFull-timeDirectorGenAIAgentic Architectures

Chapter Lead (Executive Manager) - Data Science and Gen AI, Model Risk Validation

CommBank is seeking a Chapter Lead (Executive Manager) for Data Science and Gen AI in Model Risk Validation to lead a team of data scientists across Australia and India. The role involves driving excellence in model validation, developing tooling, and engaging senior stakeholders. Requires deep knowledge of GenAI, advanced Python, and leadership experience.

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Core AIHybridFull-timeDirectorGenAI

Salary

Not specified

Work Location

Sydney, New South Wales, Australia, AU

Work Model

Hybrid

Employment Type

Full-time

Experience Level

Executive Manager

Core Qualifications

Technical (Must-have)
GenAIAgentic architecturesPythonGitHubVersion controlCI/CDMachine LearningRandom ForestsXGBoostLangChainLangGraphOpenAI Agents SDKPydanticPyTorchAWS SageMaker
Soft Skills
LeadershipMentoringCommunicationStakeholder managementGrowth mindsetCourageous mindsetIndependent judgementCuriosityDiscipline

Preferred Qualifications

Technical (Nice-to-have)
Fine-tuning transformer modelsSQLRTypeScriptLangfuseHoneyHiveClaude CodeCodexGitHub Copilot

Key Responsibilities

  • •Lead a chapter of data scientists across Australia and India, including hiring, coaching, performance and career development.
  • •Plan and run the chapter’s validation work, from prioritising engagements to delivering on time at a consistent quality bar.
  • •Lead the development of validation tooling and methods and stay close enough to the work to challenge methodology and evidence.
  • •Engage senior stakeholders, including General Managers, model owners, central AI teams and internal audit.
Data ScienceGen AIModel Risk ValidationFinancial ServicesLeadershipExecutive ManagerHybridSydneyCommBank
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