Modeling Analyst II

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.
• Intermediate English.

Benefits

• Flexibility for remote work.
• Inclusive work environment.
• Opportunities for professional development.
• Work-life balance.