Model Validation Analyst

Description

Job Summary: Lead and execute the validation of regulatory statistical banking models, ensuring their methodological robustness and regulatory compliance, while proposing improvements and mitigations. Key Responsibilities: 1. Leads the validation of regulatory statistical models. 2. Ensures methodological robustness and regulatory compliance. 3. Participates in and presents at local/corporate model committees. A banking institution requires a Model Validation Analyst. Replacement for pre- and post-natal leave. Objective: Lead and execute validation processes for regulatory statistical models used by the Bank (CMF\-IFRS or others), ensuring their methodological robustness, regulatory compliance, and operational effectiveness; proposing improvements and mitigations. Conditions: 1\. Remuneration: To be agreed upon. 2\. Working hours: Monday to Thursday, 9:00–18:00 hrs; Friday, 9:00–16:00 hrs. 3\. Work modality: Hybrid. 4\. Workplace: Santiago Centro, Metro Moneda / Las Condes (Metro Manquehue). 5\. Contract type: Under transitional regime. 6\. Responsibilities: * Ensure compliance with internal and external regulations. * Conduct independent validations of risk models related to CMF, IFRS, and other regulations. * Evaluate data quality, assumptions, methodologies, model performance, and governance. * Prepare technical validation reports describing procedures performed, findings, and recommendations. * Participate in and present at local/corporate model committees, and collaborate with model development and audit areas. 7\. Requirements: * Mandatory: Mathematical Engineer or Statistical Engineer. * Approximately 4 years of experience in similar roles. * Database handling and analysis. * Python usage and programming. * R programming language.