Bart Den Nijs, MSc
About Bart Den Nijs, MSc
Bart Den Nijs, MSc, is a Data Scientist currently employed at Juvo in São Paulo, Brazil. He has a strong background in econometrics and risk analysis, having previously worked at Itaú Unibanco and Rabobank, and co-founded ClaraCred.
Work at Juvo
Currently, Bart Den Nijs serves as a Data Scientist at Juvo, a position he has held since 2020. In this role, he applies his expertise in data analysis and econometrics to support the company's data-driven initiatives. His work involves utilizing advanced programming skills to create automated monitoring reports, contributing to the overall efficiency of the organization's data processes.
Previous Experience at Itaú Unibanco
Bart Den Nijs worked at Itaú Unibanco as a Senior MIS Analyst - Digitalization from 2010 to 2019. During his nine years in São Paulo, Brazil, he focused on digitalization efforts within the organization. His responsibilities included the development of analytical models to enhance decision-making processes and improve operational efficiency.
Background in Risk Analysis at Rabobank
Before his tenure at Itaú Unibanco, Bart Den Nijs was employed at Rabobank from 2005 to 2010 as a Junior Risk Validator. In this role, he worked within the Risk Modeling department, contributing to international risk monitoring efforts. His experience included the implementation and analysis of econometric models in line with new IFRS9 standards.
Educational Qualifications
Bart Den Nijs holds a Master of Science degree in Business Mathematics and Informatics from Vrije Universiteit Amsterdam, which he completed from 2003 to 2006. He also studied Econometrics at the University of Amsterdam, achieving Propedeuse from 1997 to 2003. Additionally, he obtained a Bachelor's degree in Business Mathematics from the Amsterdam University of Applied Sciences in 2002.
Skills and Expertise
Bart Den Nijs possesses advanced skills in various programming languages and tools, including SAS, SQL, R, Python, and VBA. These skills are essential for his role in data science, particularly in creating automated monitoring reports and conducting in-depth analyses of international portfolios. His expertise in econometric modeling further enhances his ability to contribute to data-driven projects.