Summary
José Caloca is a Senior Data Scientist with five years’ experience building and deploying ML systems for financial crime prevention and credit risk across multinational banks. He combines hands-on engineering—ETL, feature stores, MLOps, CI/CD and cloud migrations on GCP/AWS—with domain expertise in AML, A-IRB and IFRS9 model validation. A published speaker on algorithmic fairness and an invited lecturer at SGH Warsaw School of Economics, he bridges research and practice by teaching data mining and embedding fairness into model validation. Multilingual and internationally experienced (Spain, UK, Sweden, Poland), he also leads cross-functional SPOC activities that translate regulatory and stakeholder needs into production-ready solutions. Unusually for a practitioner, he pairs economics training with deep technical certifications, enabling him to prototype innovative AI solutions while keeping models auditable and compliant.
5 years of coding experience
2 years of employment as a software developer
Bachelor's degree, Economics, Bachelor's degree, Economics at Wroclaw University of Economics and Business
Bachelor's degree, Economics, Bachelor's degree, Economics at Universidade da Coruña
Master's degree, Advanced Analytics - Big Data, Master's degree, Advanced Analytics - Big Data at SGH Warsaw School of Economics
Spanish, English, Portuguese, Polish