
51 - 200 employees
Founded 2021
💼 Consulting
🏥 Healthcare
📣 Marketing
Consulting • Healthcare • Marketing
<Domo Inovação> is a hub of innovation and technology within Grupo Mercantil (Banco Mercantil), focused on developing connected, future-oriented solutions and digital products for the bank and its customers. It positions itself as an innovation nucleus that creates technology-driven solutions, attracts talent, and leverages the stability of a long-established banking group to deliver practical, customer-facing experiences and internal capabilities.
🔥 19 hours ago
🗣️🇧🇷🇵🇹 Portuguese Required
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51 - 200 employees
Founded 2021
💼 Consulting
🏥 Healthcare
📣 Marketing
Consulting • Healthcare • Marketing
<Domo Inovação> is a hub of innovation and technology within Grupo Mercantil (Banco Mercantil), focused on developing connected, future-oriented solutions and digital products for the bank and its customers. It positions itself as an innovation nucleus that creates technology-driven solutions, attracts talent, and leverages the stability of a long-established banking group to deliver practical, customer-facing experiences and internal capabilities.
• Develop a thorough understanding of the institution’s business, policies, procedures, and corporate databases to identify components and factors that influence credit risk assessment • Update the department’s Procedures Manual and Policy, including changes to tasks and the addition of new activities • Manage version control for the models in use and conduct backtesting • Prepare reports and analyses for senior management and business areas, providing relevant information and insights to support credit risk management decisions • Develop predictive models for credit risk indicators, including delinquency, provision expense, and loans charged off as losses • Continuously improve statistical modeling for Expected Credit Loss (ECL) assessment, particularly for credit operations, using forward-looking analyses • Develop ad hoc models related to financial risks for various areas of the institution
• Bachelor’s degree in Computer Science, Statistics, Mathematics, Economics, or related fields in Technology or the Exact Sciences • Experience developing statistical models • Knowledge of statistics • Knowledge of exploratory data analysis • Knowledge of model development in Python • Knowledge of predictive analytics models • Knowledge of Machine Learning models • Knowledge of model performance monitoring • Knowledge of agile methodologies • Knowledge of SQL • Knowledge of AWS cloud services (SageMaker) or GCP (Vertex) (preferred) • Knowledge of concepts related to credit risk, particularly IFRS 9 (key requirement) • Knowledge of applying data science to financial problems (key requirement) • Knowledge of MLOps environments (key requirement)
• Health and Dental Insurance • Wellhub (formerly Gympass) • Transportation allowance • Food and meal allowance • Academia Mercantil (learning platform) and partnerships with educational institutions • Private pension plan • Life insurance • Day off • Extended maternity and paternity leave
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