Kevin Chang

Senior Data Scientist at ASB Bank, Auckland, New Zealand
πŸ“§ kevin.ct.chang@gmail.com | πŸ“± +64 21 292 8124 | πŸ”— GitHub | LinkedIn
Data science leader delivering measurable business impact: 12+ years driving revenue growth, customer value, and strategic decision-making through advanced analytics, machine learning, and data products. Currently at ASB Bank optimising pricing strategy and driving customer intelligence initiatives. Rare combination of commercial expertise, technical depth, and policy modelling knowledgeβ€”proven ability to translate complex models into clear, actionable insights for C-suite stakeholders. Specialist in customer lifetime value systems, predictive analytics, generative AI applications, and large-scale microsimulation. Recognised mentor building high-performing analytics teams.
Professional Experience
Senior Data Scientist – ASB Bank
Lead pricing strategy by integrating market intelligence and advanced analytics to drive revenue growth:
  • 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 aligned with customer and market needs
  • Monitor product performance and provide actionable insights to optimise P&L performance
  • Evaluate post-launch performance and recommend adjustments to improve outcomes
  • Identify, assess, and manage risks associated with pricing decisions
Data Scientist – ASB Bank
Led strategic analytics initiatives, drove customer growth, and business innovation:
  • Developed and deployed predictive models for customer lifetime value, segmentation, churn prediction, and product recommendation
  • Applied large language models (LLMs) to analyse open-ended survey responses, identifying customer sentiment drivers
  • Partnered with product, design, and engineering teams to build scalable insights platforms and analytics tools
Model Assurance Specialist – ASB Bank
Provided independent validation of critical bank-wide models to ensure regulatory compliance:
  • Conducted comprehensive end-to-end validations of risk, credit, and operational models
  • Challenged model assumptions through rigorous statistical analysis
  • Ensured models met regulatory standards (RBNZ/APRA requirements)
  • Delivered clear validation reports to senior management and governance committees
Modelling Analyst – The New Zealand Treasury
Developed sophisticated analytical tools supporting government policy development and fiscal planning:
  • Built and maintained microsimulation models to analyse tax and welfare policy impacts
  • Integrated complex survey and administrative datasets to create robust analytical foundations
  • Created interactive R Shiny dashboards and internal R packages to streamline policy analysis
  • Collaborated with policy teams and Statistics NZ to ensure outputs aligned with strategic objectives
Statistical Consultant – Statistical Consulting Centre, University of Auckland
Delivered end-to-end analytical consulting solutions across academia, government, and industry:
  • Provided statistical expertise to 60+ clients across academic, government, and commercial sectors
  • Designed and deployed web-based analytical tools and custom R packages
  • Conducted advanced analyses spanning experimental design, survey methodology, and causal inference
  • Led R programming workshops, building analytical capability among researchers
Technical Skills

Programming

  • R (Expert)
  • SQL (Expert)
  • Python (Proficient)
  • Snowflake, Databricks
  • dbt, Shiny, RMarkdown

Statistics & Modelling

  • Machine Learning
  • Advanced Statistical Modelling
  • Microsimulation
  • Experimental Design
  • Survey Analysis
Education
Ph.D. in Statistics and Biological Sciences – University of Auckland
B.Sc. (Hon) in Bioinformatics – University of Auckland