Data & Analytics Spec I - Modelos estatísticos

Support the development and monitoring of statistical and credit risk models. Work with large volumes of data, performing exploration, treatment, and analysis of information. Develop analyses primarily using Python and SQL. Participate in the construction and monitoring of models related to PD, LGD, EAD, and Expected Credit Loss (ECL). Contribute to automation initiatives, Machine Learning, and Artificial Intelligence applied to the processes of the area.

Ongoing education in Statistics, Mathematics, Engineering, Computer Science, Data Science, Economics, Information Systems, or related fields. Knowledge of Python and SQL. Strong foundation in statistics, programming, and data manipulation. Analytical reasoning and interest in problem-solving.