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Manager - Model Assurance and Analytics
3 weeks ago
**You are**an experienced professional with a background in Credit Risk **Modelling or Validation**
- **We are**a committed Risk Management team responsible for developing credit policies and strategies within Business Banking Risk Appetite, automated decisioning and driving efficiencies and simplifications in credit processes to achieve excellent customer outcomes and risk reward trade-offs.
- **Together we will**deliver faster and simpler customer outcomes through the innovative use of data, and enable Business Banking to scale safely and efficiently by establishing the best in class risk management framework leading the adoption of automation and Artificial Intelligence (AI).
**Do work that matters**:
Risk Management is responsible for developing and deploying the risk frameworks to allow the Group to take conscious exposures to credit, market, operational, compliance and insurance risks within a Board-approved appetite. Risk Management ensures that the Group has appropriate strategies and frameworks in place to assess, manage and report on credit, market, operational, compliance and insurance risks.
**See yourself in the team**
As the Manager Model Assurance and Analytics, you will play a critical role in the assurance, review, and oversight of the bank’s non-retail IRB and AASB 9 models. You will ensure these models are robust, regulatory-compliant, and aligned with business objectives, while also driving innovation initiatives using automation and AI to shape the future of risk modelling. This role requires both strategic leadership and hands-on technical expertise, as you will lead model assurance efforts, engage with stakeholders, and actively contribute to the development of advanced solutions to improve efficiency and effectiveness in risk modelling.
**Key Responsibilities**:
- Conduct fit-for-purpose reviews of the bank's non-retail capital and provisioning models, including performance monitoring and operational oversight, ensuring models are empirically robust and meet APRA and AASB 9 requirements.
- Lead decision-making on new model developments, refinements, and decommissioning, balancing regulatory requirements and business needs.
- Oversee model implementation, defining business requirements and ensuring seamless deployment and integration with business processes.
- Perform technical validation and coding tasks, using R, SQL, and R Shiny to assess model performance, extract insights and build interactive self-service dashboards and visualisations.
- Drive the adoption of AI and advanced analytical techniques to enhance model assurance, oversight, and decision-making, ensuring the bank stays at the forefront of risk management innovation.
- Collaborate with internal and external stakeholders, including senior executives, risk teams, auditors, and regulators, providing clear insights on model risks and performance.
- Present findings in a way that balances technical accuracy with business relevance, influencing key decision-makers.
- Proactively engage with industry developments and regulatory changes to ensure best-practice in modelling tools and techniques.
**We’re interested in hearing from people who have**:
- Extensive experience (3+ years) in IRB and AASB 9 model validation, development, or assurance in a banking or regulatory environment.
- Strong programming skills in R(preferable) or Python as well as SQL, with hands-on experience using R Shiny for data visualisation and interactive reporting.
- Strong academic background in mathematics, statistics or similar.
- Proven ability to balance technical rigor with business considerations and translate complex findings into actionable insights.
- Experience leading automation initiatives and exploring AI-driven approaches for model oversight.
- Strong problem-solving, communication, and stakeholder engagement skills, with the ability to influence across all levels.
- A strategic mindset with a focus on continuous improvement, innovation, and long-term planning.
**Why Join Us?**
- Lead high-impact work on IRB and AASB 9 models in a major Australian bank.
- Be at the cutting edge of risk model oversight, driving automation and AI adoption.
- Work with a collaborative and expert team in a dynamic risk management landscape.
- Engage with senior stakeholders and regulators, shaping the bank’s model governance strategy.
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