Summary
Daniel Acatay is a Specialized Consulting Manager with nine years’ experience delivering regulatory reporting, risk modelling, and data analytics solutions for major international banks. Trained as an econometrician, he blends quantitative finance and machine learning expertise with hands-on implementation across diverse database architectures and programming environments. He has led small teams through complex IFRS 9, AQR, PD/LGD/ECL and model validation engagements, translating regulatory requirements into auditable analytics end-points. Pragmatic and altruistic, he pairs technical rigor with a client-first consulting mindset that emphasizes responsibility and trust. Now based in Germany and active across Regnology and Wolters Kluwer projects, he brings both advisory depth and practical delivery experience at the intersection of risk management and data science. An ability to see business impact beyond models—ensuring solutions are operationally robust and governance-ready—distinguishes his approach.
9 years of coding experience
6 years of employment as a software developer
Bachelor of Science - BS Economics, Bachelor of Science - BS Economics at University of Konstanz
Master of Science - MS Econometrics and Quantitative Economics, Master of Science - MS Econometrics and Quantitative Economics at Otto-Friedrich-Universität Bamberg
English, German, Spanish