Description: * Bachelor's degree in exact sciences (Statistics, Mathematics, Economics or related fields) (postgraduate degree preferred); * Solid expertise in statistical modeling, including regression models, generalized linear models, machine learning, decision trees, and time series; * Proficiency in programming languages (Python, SQL, R); * Knowledge of current standards for credit loss measurement (IFRS, CMN Resolution 4966), as well as accounting principles, is desirable; * Excellent logical and quantitative reasoning; * Strong oral and written communication skills; * Sense of urgency, proactivity, curiosity, and strong interpersonal skills. * Develop, document, and assess the impact of expected loss models, including PD, EAD, LGD, and Forward-Looking models. * Develop predictive models, such as Machine Learning models; * Support the independent model validation team; * Support external audits on topics related to models; * Continuously improve credit loss provisioning models using appropriate statistical techniques and business concepts, aiming to ensure models with strong fit and compliance with current regulatory requirements. 2512040202181513369