Credit Risk Models - Data Scientist (Ciudad de México, Cuauhtémoc - Torre Reforma)

Create credit scoring models, ratings, and parameter estimation for provisions and capital. Develop income models, early warning systems, and capital reserves. Build predictive models using machine learning algorithms and AI techniques. Process and analyze large data volumes in Amazon Web Services (AWS). Communicate the quantitative and methodological impacts of models to various business areas.

2-3 years of experience in developing predictive models. Bachelor's degree in Mathematics, Actuarial Science, Physics, Data Science, or related fields. Technical proficiency in SAS, Python, or PySpark. Strong knowledge of statistics, probability, mathematics, and machine learning. Basic English proficiency focused on reading and technical comprehension.