Develop credit risk models using statistical techniques and Machine Learning solutions, with a focus on Python;
Manipulate, explore, and analyze large datasets using Python;
Conduct ad hoc studies and statistical analyses to support decision-making;
Interpret analytical results, assessing their coherence, relevance, and impact on the business;
Translate complex analyses and technical concepts into clear, concise insights tailored to different audiences, including clients across segments and internal teams.

Strong experience with Python for data manipulation, data analysis, and development of statistical and Machine Learning models;
Good communication skills, with ease interacting with internal and external clients;
Proactive profile, results-oriented, focused on quality and delivering value;
Analytical, inquisitive, and curious mindset, with continuous interest in learning, technical growth, and identifying patterns and improvement opportunities;
Ability to propose solutions aligned with business strategies;
Knowledge of GenAI will be considered a differential.

Modeling Analyst II

Key skills