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Chapter Area Lead

2 weeks ago

Sydney, New South Wales, Australia Commonwealth Bank of Australia Full time $150,000 - $200,000 per year
Chapter Area Lead (Executive Manager) - Data Science and AI, Model Risk & Validation
  • You are curious and passionate about advanced ML and Gen AI models
  • We are ambitious in transforming lives of customers using ML and Gen AI
  • Together we will deliver innovative Gen AI solutions at scale to our customers
Do work that matters

See yourself in our team

Your Impact
  • Drive the strategic design and delivery of the validation of Gen AI and Agentic AI systems that transform banking services.
  • Lead and coach teams to uplift the overall outcomes on data science and modelling initiatives and capabilities across our business and support units.
  • Influence cross-functional teams and senior stakeholders to safely embed AI into key decision-making.
Key Responsibilities:
  • Own and actively manage the AI and data science model validation processes, risks and controls
  • Leading a team of 20 data scientists across Australia and India:
    • Recruitment, retention, coaching and career development
    • Delivery of model validation activity
    • Ensuring the quality of the scope and outcomes of the team's work
    • International travel will be required from time-to-time
  • Leading thought leadership on AI and other as it relates to:
    • model methodologies
    • next-gen technology adoption (analytics toolset and data models)
    • contributions to policy, standard and procedure development
  • Develop and execute strategic transformation agenda:
    • Development and adoption of tooling to improve speed of development and validation activity
    • Maintain and iterate model validation procedures in a dynamic environment
  • Leading the interactions with stakeholders.
    • BU / SU-aligned data scientists involved in development, and model owners and monitors
    • Centralised AI data scientists and AI acceleration stream leads
    • Internal audit
  • Present to the Model Risk Governance Committee and other committees as required
We're interested in technical leaders who can bring :

Leadership and Vision:
  • Proven ability to lead high-performing, multidisciplinary data science and gen AI teams.
  • Deep understanding of how gen AI and agentic AI can transform customer experiences and knowledge of agile delivery practices.
  • Strong executive presence with the ability to inspire and communicate technical vision clearly across diverse group of stakeholders to uplift the Data Science community.
Technical Excellence in Data Science, Machine Learning and AI:
  • Data Science, Machine Learning and AI: Strong expertise in implementing real-time use cases using traditional Machine Learning, model risk, model validation, model deployment and MLOps.
  • Tooling Mastery: Hands-on experience with gen AI, RAG, guardrail design, Python, Quarto / JupyterLab, and Git / Github / Github Copilot, AWS Sagemaker, AWS Bedrock, and (preferred)
  • Education and background: Degree in any one of the quantitative fields including Mathematics, Data Science, Statistics, Actuarial studies, or Physics.
Working with us

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