Summary
Roc Alabern is a seasoned data scientist and risk analytics leader with 12 years of experience building and deploying machine learning and operations research solutions in banking and fintech. Currently directing the Artificial Intelligence Models team at CaixaBank, he combines hands-on model development with team leadership and productionising complex credit and fraud decision engines. His background includes leading data science at Pagantis where he was effectively Chief Risk Officer for a real-time credit platform, and prior roles in big data and quantitative research reflecting deep mathematical training. Ranked top of his class in Mathematics and holder of advanced studies in harmonic analysis and financial mathematics, he brings rigorous quantitative foundations to practical, business-driven ML systems. Notably, he has progressed from FX market analysis and academic research to shaping enterprise-level risk models, blending domain expertise with operational delivery.
11 years of coding experience
8 years of employment as a software developer
Master of Advanced Studies (MAS), Harmonic Analysis, Master of Advanced Studies (MAS), Harmonic Analysis at Universitat Autònoma de Barcelona
Master en Matemáticas para Instrumentos Financieros, Derivative Pricing, Risk Management, Master en Matemáticas para Instrumentos Financieros, Derivative Pricing, Risk Management at CRM (Centre de Recerca Matemàtica)