🛠 Tech Stack

💼 About This Role

You'll design and develop models to detect fraud and anomalous behavior for a fintech company providing consumer loans in Latin America. You'll work with large datasets applying supervised and unsupervised ML techniques to strengthen fraud detection systems. This role offers the chance to tackle imbalanced classification problems and directly impact automated decision-making in a fast-growing market.

🎯 What You'll Do

• Explore large-scale transactional datasets for fraud patterns
• Build and validate ML models for imbalanced classification
• Engineer features to enhance model performance
• Collaborate with engineering, product, and operations teams

📋 Requirements

• Degree in Data Science, Statistics, Mathematics, or Computer Science
• 1-2 years of experience in Data Science or Analytics with ML
• 2+ years of Python and SQL experience
• Knowledge of fraud detection or anomaly detection

✨ Nice to Have

• Industry background in fintech, insurance, or banking
• AWS Services knowledge
• Understanding of consumer behavior and digital lending