ANALYTICS DATA MODELER

📋 Description

• Execute the technical component of assigned analytical projects, from data understanding and sample
• Develop statistical, econometric, and machine learning models for the credit cycle, including
• Apply methodological, regulatory, and business specifications to convert them into reproducible and
• Implement controls on data, samples, code, calculations, results, and documentation, ensuring
• Automate repetitive processes and build reusable components to scale solution development and
• Use artificial intelligence tools as authorized technical support, under human validation

🎯 Requirements

• Bachelor's degree in statistics, mathematics, actuarial science, data science, computer science
• Minimum of 3 years of experience in statistical model development and analytical solutions
• Desirable experience in credit risk, financial services, or provisioning systems.
• Technical knowledge in Python, SQL, Spark or PySpark.
• Knowledge of regression, classification, trees, segmentation, clustering, time series, survival
• Experience with Git, reproducible notebooks, Azure Databricks or equivalent environments, testing

🎁 Benefits

• Great Place To Work™ certified in 24 countries, FORTUNE Best Companies to work, and Glassdoor Best
• Focus on DEI, work-life balance, development, authenticity, engagement, collaboration, well-being
• Volunteering opportunities and a people-first culture.