Lead the SME Credit Risk Models agenda, ensuring technical evolution and alignment with strategic priorities
Job Summary
Lead the SME Credit Risk Models agenda, ensuring technical evolution and alignment with strategic priorities.
Define priorities and drive the evolution of models, ratings, indicators, and analytical initiatives, connecting business needs, risks, and regulatory requirements.
Promote methodological evolution and high technical standards, encouraging robust analytical approaches, applied innovation, and good modeling practices.
Matching Summary
Lead the SME Credit Risk Models agenda, ensuring technical evolution and alignment with strategic priorities.
Skills & Requirements
Must-have
SME Credit Risk Models leadership
Data Science & Machine Learning
Credit Risk Modeling experience
Stakeholder Management
Methodological evolution and technical standards
Nice-to-have
AI and automation implementation
High-performance team development
Strategic business impact
Key Requirements
Graduation in Statistics, Computer Science, Physics, Mathematics, Engineering, or related fields
Post-graduation or specialization in Data Science, Credit Risk, Analytics, or Management
English or Spanish proficiency
Solid experience in applied statistics, predictive modeling, and machine learning
Relevant experience in PF or PJ credit risk modeling
Experience in leading Data Science, Modeling, or Analytics teams