SumUp
São Paulo, Brazil
As a data scientist part of a Fraud Prevention cross-functional team, you will be responsible for developing, deploying, and maintaining models to detect fraud in card-present and banking transactions across various markets. Daily tasks include monitoring and evaluating the performance of existing models, collaborating with strategy stakeholders to develop risk policies, and conducting feature engineering to identify and adapt to new fraud patterns. Your routine will include Developing and maintaining fraud detection models using machine learning techniques Monitoring, evaluating, and enhancing the performance of fraud models in production Collaborating with cross-functional teams, including risk management, product, and operations, to design and refine risk policies Performing extensive feature engineering to adapt to emerging fraud trends and market conditions Continuously improving data pipelines, ensuring reliable and scalable solutions Providing insights and...