




Position Summary: Development, validation, monitoring, and documentation of statistical models for assessing the credit portfolio's risk level, with interesting challenges. Key Highlights: 1. Development of statistical credit risk models. 2. Database construction and information quality validation. 3. Analysis and programming in SAS and/or Python/R. **Location:** MEXICO CITY, Mexico City, MX **Category:** Risk and Credit **Requisition ID:** 120658 **Internal Models Manager** **(Santa Fe, CDMX)** At Banorte, we seek unique, strong, and extraordinary talent to drive the country’s transformation and innovation, becoming a powerful ally to grow robustly with Mexico. We firmly believe that the combination of solidarity, innovation, respect, loyalty, and responsibility is the perfect formula to become the best team in the financial sector. **Position Objective:** Development, validation, monitoring, and documentation of statistical models for assessing the credit portfolio's risk level. Each day, you will face **new and interesting challenges** in your role, for which you will be responsible for: * Database construction and information quality validation (with emphasis on large volumes of data). * Analysis and programming in SAS and/or Python/R: writing code and interpreting results. * Development of statistical credit risk models (integrating various statistical techniques to ensure model reliability). * Model documentation (preparing PowerPoint presentations and Word documents with sufficient detail to enable third-party replication of the models). **Requirements:** * Academic background: Bachelor’s degree in Mathematics, Actuarial Science, or Data Science. * Years of experience: 1 year in the financial sector (preferred). * Areas of expertise: Risk, Statistics. * Required knowledge: Proficiency in structured programming (e.g., SAS, Python, R, SQL, Visual Basic, Office suite). * Languages: English (reading comprehension). * Willingness to travel: Not required. * Willingness to relocate: Not required. At Banorte, we operate under a principle of equal opportunity. Therefore, we do not discriminate based on age, ethnic origin, nationality, gender, sexual orientation, marital status, social condition, health status, religious beliefs, political doctrine, or disability.


