Diomedes Pael Reitman
About Diomedes Pael Reitman
Diomedes Pael Reitman serves as the Credit & Risk Director at Juvo, bringing extensive experience in credit risk management and data science. He has held various leadership roles in prominent financial institutions in Brazil and possesses advanced skills in statistical software and data analysis.
Current Role at Juvo
Diomedes Pael Reitman serves as the Credit & Risk Director (CRO) at Juvo, a position he has held since 2022. In this role, he is responsible for overseeing credit and risk management strategies, ensuring that the organization effectively navigates financial risks while optimizing credit offerings. His leadership is instrumental in shaping the company's approach to risk assessment and credit evaluation.
Previous Experience in Data Science and Risk Management
Prior to his current position, Reitman worked in various roles focused on data science and risk management. He was the Head of Data Science for Credit at banco BV from 2020 to 2021 and served as the Head of Data Science - Credit Risk at IOUU from 2021 to 2022. Additionally, he held the position of Especialista I em Gestão de Riscos at Itaú Unibanco from 2010 to 2015, where he contributed to risk management strategies.
Educational Background and Specialization
Reitman studied at UFSCar, where he earned a Mestrado em Estatística, specializing in Inferência Bayesiana e Modelagem from 2005 to 2007. He also holds a degree in Matemática from Universidade Federal de Mato Grosso do Sul, completed between 2000 and 2003. His educational background provides a strong foundation for his expertise in statistical analysis and risk management.
Contributions to Risk Management Projects
Reitman played a significant role in the development and implementation of the Qualitative Validation Project, aimed at facilitating compliance with Basel II regulations. This initiative led to the establishment of the 'QUALI' validation area, enhancing the organization's risk management framework. His involvement in such projects demonstrates his commitment to advancing risk management practices.
Technical Skills and Team Management
Reitman possesses advanced skills in statistical software, including SAS Guide, R, and SPSS, as well as database manipulation using Python, SAS, SQL, and MYSQL. He has a proven track record in developing and managing high-performance teams, focusing on achieving corporate results through strategic data analysis and risk management. His ability to translate technical data analysis into executive language aids decision-making processes within organizations.