Summary
Víctor Morales-oñate is a Chief Analytics Officer with eight years of experience applying high-performance computing, spatiotemporal statistics and machine learning to finance and public-sector problems across Ecuador. He has led analytics teams at major banks, doubling model deployments and lifting team NPS through stronger production practices and methodological documentation. As an academic, he teaches machine learning and spatial econometrics and has translated research into applied geostatistical and hydrometeorological projects for risk assessment. His work spans product strategy, recommendation engines and anti-money-laundering models, with measurable commercial impact such as a 10% sales lift from a deployed recommender. Trained to PhD level in statistics and with advanced degrees in applied mathematics, economics and philosophy, he brings a rare mix of rigorous theory and practical deployment experience. Based in Tungurahua, he combines quantitative depth with an interest in the economic and philosophical implications of data-driven decisions.
8 years of coding experience
6 years of employment as a software developer
Magister en Economía del Desarrollo, Económicas, Sede Ecuador, Magister en Economía del Desarrollo, Económicas, Sede Ecuador at Facultad Latinoamericana de Ciencias Sociales
Master's degree, Gestión de Riesgos Financieros, Master's degree, Gestión de Riesgos Financieros at UNIR - La Universidad en Internet
Bachelor's degree, Economics, Bachelor's degree, Economics at Escuela Politécnica Nacional
Master of Science - MS, Applied Mathematics, Master of Science - MS, Applied Mathematics at Universidad San Francisco de Quito
Doctor of Philosophy - PhD, Statistics, Doctor of Philosophy - PhD, Statistics at Universidad de Valparaíso
Master of Arts - MA, Philosophy, Master of Arts - MA, Philosophy at Pontificia Universidad Católica de Valparaíso