Join the Fintech revolution and build the future of finance in Mexico!

The primary goal of the Data Scientist in Risk Management is to develop, implement, and maintain machine learning models and algorithms to enhance underwriting processes and customer management strategies. This role involves continuous improvement and experimentation with models and working closely with the Lead or Manager Data Scientist.

• Model Development and Implementation: Design, develop, and implement machine learning models and algorithms for underwriting and customer management.
• Model Improvement: Conduct experiments to enhance existing models, ensuring their accuracy and reliability through rigorous testing, validation, and benchmarking.
• Analytics and Communication: Apply advanced analytical methodologies to solve complex business challenges, presenting insights through charts and graphs, and communicating findings to non-technical stakeho...