Kevin Chang

ASB Bank · Auckland, New Zealand

• Drive continuous improvement of pricing strategies, models, and processes to enhance customer experience and business performance.
• Develop and implement pricing models and analytical frameworks to support new product features or enhancements aligned with customer and market needs.
• Monitor product performance, including pricing impact on revenue, profitability, and customer outcomes, and provide actionable insights to optimise P&L performance.
• Evaluate post-launch performance using advanced analytics, recommending adjustments to pricing, product features, and customer strategies to improve outcomes.
• Identify, assess, and proactively manage risks associated with pricing decisions, including regulatory, conduct, and model risks.

ASB Bank · Auckland, New Zealand

• 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.

ASB Bank · Auckland, New Zealand

• 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.

The New Zealand Treasury · Wellington, New Zealand

• 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.