Machine LearningCommunicationCritical ThinkingRemote Work
About this role
Role Overview
Work with databases.
Develop statistical and machine learning models, applying a variety of supervised, semi-supervised, and unsupervised techniques.
Develop credit strategies (approval/granting, management, and limits), ad hoc studies, and statistical analyses.
Evaluate credit approval and management rules based on bureau data, payment history, and customer profiles.
Interpret and assess whether results derived from data make business sense.
Translate and present complex technical explanations into simple, easily understandable terms for different audiences.
Interact and collaborate with multiple areas within Serasa and with external clients.
Conduct periodic on-site visits/assignments at client locations to understand their needs, assess risks, and propose solutions aligned with the company's objectives.
Requirements
Experience and knowledge in data analysis and machine learning models applied to credit and collections.
Experience in developing and analyzing delinquency indicators, provisions, and portfolio analysis.
Ability to map the current credit journey and propose new studies.
Availability to perform on-site client visits.
Good communication, critical thinking, and decision-making skills.