Lead the technical development, evolution, and recalibration of statistical and machine learning models applied to credit risk for credit granting and maintenance
Job Summary
Lead the technical development, evolution, and recalibration of statistical and machine learning models applied to credit risk for credit granting and maintenance.
Structure solutions combining analytical modeling, automation, and applied use of generative artificial intelligence, focusing on transforming critical area processes and increasing team productivity.
Interact closely with stakeholders from Risk, Policy, Business, Data, and Technology, translating strategic needs into sustainable analytical solutions for the company.
Matching Summary
Lead the technical development, evolution, and recalibration of statistical and machine learning models applied to credit risk for credit granting and maintenance.
Skills & Requirements
Must-have
statistical modeling
predictive modeling
machine learning
SQL and Python
credit risk models
model monitoring and validation
Nice-to-have
challenging current hypotheses
proactive and strategic approach
technical reference within the team
balancing technical rigor and pragmatism
Key Requirements
Degree in Statistics, Computer Science, Physics, Applied Mathematics, Engineering, or related fields
Post-graduation or specialization in Data Science, Credit Risk, Project Management is desirable
Master's and/or PhD are differentials
English or Spanish are fundamental
Solid experience in applied statistics, predictive modeling, and machine learning
Proficiency in SQL and Python
Experience with model monitoring, validation, stability, and performance in production