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;
Identify improvements and propose solutions;
Define the success metrics to be monitored and conduct experiments to validate impact;
Interpret analytical results, evaluating their consistency, relevance, and business impact;
Translate complex analyses and technical concepts into clear, actionable insights tailored to different audiences, including clients across segments and internal teams.
Serve as a technical reference, supporting the development of other professionals.

Strong command of statistical concepts
Data manipulation and SQL
Solid experience in Python for data manipulation, analysis, and development of statistical and Machine Learning models
Knowledge of Cloud (AWS), code versioning (git/Bitbucket), and programming best practices (PEP 8)
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
Strong communication skills, comfortable interacting with internal and external clients
Proactive profile, focused on results, quality, and delivering value
Collaborative, with regular knowledge sharing and contributions to the team.

Data Modeling Analyst III – Senior

Key skills