Summary
Mick Cooney is a Co-Founder and CTO with 12 years of experience applying programming, applied statistics, machine learning and NLP to risk analysis across insurance and capital markets. He leads Describe Data to deliver pragmatic, production-ready tools that help underwriters and actuaries evaluate complex individual and portfolio-level risks. His background spans quantitative finance, Bayesian hierarchical modelling, survival analysis and Monte Carlo techniques, honed at hedge, advisory and insurer firms where he translated research into operational systems and dashboards. He’s comfortable across the stack—from data pipelines and geospatial modelling to model explainability—and often pairs technical solutions with hands-on actuarial collaboration. Based in Dublin, Mick holds a PhD in Computational Stochastic Mathematics and a MSc in High Performance Computing, which underpin his focus on performant, auditable models. An understated strength is his long track record of converting academic methods into usable business tools that drive decision-making under uncertainty.
13 years of coding experience
18 years of employment as a software developer
PhD, Computational Stochastic Mathematics, PhD, Computational Stochastic Mathematics at Trinity College Dublin