Sistema Fibra

• Mapping, structuring, and ensuring the quality of analytical data pipelines • Implementing data governance best practices and information architecture • Translating business needs into technical data requirements and strategic performance metrics

• Mapping, structuring, and quality assurance of analytical data pipelines • Implementation of data governance best practices and information architecture • Translating business needs into technical data requirements and strategic performance metrics

• Development of statistical models and machine learning algorithms for scenario forecasting and optimization of operational variables • Technical and economic feasibility analysis of data-driven innovation initiatives • Creation of analytical dashboards to support senior management

• Relatório com recomendações de implementação para a melhoria de métricas de prevenção e recuperação de veículos • Modelos estatísticos e de aprendizado de máquina e de IA para ser implementados pela Toyota

• Build connectors and automated checks in Big Data to validate report facts (payment, amount, channel, status, dates). • Model and implement a 360° Timeline by integrating transactional events and customer interactions. • Integrate multiple internal sources into a unified view of the customer journey with end-to-end traceability. • Operationalize the recurring routine "new case → dossier → checks → timeline → cause → recommendation." • Implement dashboards and metrics to support decisions for process, system and communication improvements.

• Desenvolver análises para identificação de padrões, tendências e correlação entre indicadores; • Estruturar mecanismos de geração automatizada de insights para governança; • Explorar uso de modelos de IA / LLM para interpretação e explicação de dados; • Desenvolver solução de assistente conversacional para consulta e análise de informações; • Apoiar a evolução do modelo de governança para abordagem orientada a dados.

• Prepare a report with implementation recommendations to improve vehicle prevention and recovery metrics. • Develop statistical, machine learning, and AI models for implementation by Toyota.

• Report with implementation recommendations to improve vehicle prevention and recovery metrics; • Statistical, machine learning and AI models for implementation by Toyota; • Deep expertise in statistical models for probabilistic calculations; • Knowledge of machine learning and AI models for developing predictive models; • Experience using AWS and AWS tools for data analysis.

• Trabalhar no time de Inteligência Artificial Responsável do Instituto de Ciência e Tecnologia do Itaú (ICTi) • Cuidar para que os chatbots baseados em IA sejam usados de forma ética, segura e confiável • Criar ferramentas que ajudam a medir o comportamento desses chatbots • Defender esses chatbots contra ataques maliciosos

• Understanding of the IFRS 17 standard as it relates to the risk adjustment • Survey of current practices for measuring the Risk Adjustment under IFRS 17 • Identification of critical variables (e.g., claims volatility, policy cancellations/surrenders, expenses, lapses) and available internal data sources • Justify the methodology of the statistical model used for the risk adjustment • Perform consistency tests to validate and maintain the statistical model for the risk adjustment • Prepare documentation and provide support for internal and external audits