Michael Bolger

At KPMG Hong Kong, I lead data analytics and architecture initiatives for major insurance and banking clients, turning business priorities into structured analytical requirements, data specifications, and delivered solutions.

I've designed a Neo4j and Python network-graph claims fraud detection system, directed Azure Databricks and GCP pipeline delivery for an insurer, and overseen Alteryx regulatory reporting automation for a major bank. I also lead internal agentic AI and LLM prototypes while contributing to analytics capability building, hiring, and knowledge transfer.

Previously, I owned end-to-end research and market analysis at Crypto.com, managing four junior researchers and delivering clear insights for executives and clients.

Across MoneyHero Group, BitMEX, and Web Summit, I've built analytics pipelines, segmentation, dashboards, automated reporting, and ETL processes using Python, SQL, cloud platforms, and data visualisation tools to support commercial, product, growth, and operational decisions.