Lead strategic analytics initiatives, drive customer growth, and business innovation across the bank:

• Customer Intelligence & Growth: Developed and deployed predictive models for customer lifetime value, segmentation, churn prediction, and product recommendation, delivering actionable insights that inform strategic planning and drive measurable revenue growth.
• Generative AI: Applied large language models (LLMs) to analyse open-ended survey responses, identifying common themes and customer sentiments driving NPS results and customer experience insights.
• Data Product Leadership: Partner with product, design, and engineering teams to build scalable insights platforms and analytics tools that enable data-driven decision-making across business units.
• Product Development: Created interactive R Shiny dashboards and internal R packages that streamlined policy analysis workflows and improved accessibility of insights for policy analysts.
• Stakeholder Collaboration: Worked closely with policy teams, Statistics NZ, and other government agencies to ensure analytical outputs aligned with strategic policy objectives.

Provided independent, rigorous validation of critical bank-wide models to ensure regulatory compliance and risk management:

• Conducted comprehensive end-to-end validations of risk, credit, and operational models, assessing methodology, data quality, implementation, and ongoing performance monitoring.
• Challenged model assumptions and methodologies through rigorous statistical analysis, identifying limitations and recommending enhancements that strengthened model reliability.
• Collaborated with model developers, risk managers, and senior stakeholders to ensure models met regulatory standards (RBNZ/APRA requirements) and internal risk policies.
• Delivered clear, comprehensive validation reports to senior management and governance committees, facilitating informed decision-making on model approval and risk mitigation.

Developed sophisticated analytical tools supporting government policy development and fiscal planning:

• Policy Impact Modelling: Built and maintained microsimulation models to analyse tax and welfare policy impacts, directly informing Budget decisions and Ministerial recommendations.
• Data Integration & Engineering: Integrated complex survey and administrative datasets (IDI, HES) to create robust analytical foundations for policy evaluation.
• Product Development: Created interactive R Shiny dashboards and internal R packages that streamlined policy analysis workflows and improved accessibility of insights for policy analysts.
• Stakeholder Collaboration: Worked closely with policy teams, Statistics NZ, and other government agencies to ensure analytical outputs aligned with strategic policy objectives.

Delivered end-to-end analytical consulting solutions across academia, government, and industry, building custom solutions for complex statistical challenges:

• Provided statistical expertise to 60+ clients across academic, government, and commercial sectors, translating business questions into rigorous analytical approaches.
• Designed and deployed web-based analytical tools and custom R packages for clients, including government agencies and research institutions.
• Conducted advanced analyses spanning experimental design, survey methodology, longitudinal modelling, and causal inference
• Led R programming workshops and training sessions, building analytical capability among researchers and practitioners.