Data Scientist, Risk

Summary

Join the Wolfpack as a Data Scientist on our Risk Team to develop and optimize machine learning models to detect and prevent fraud. You will bridge the gap between theoretical data science and practical solutions in the fintech sector, handling large-scale datasets, extracting insights, and developing sophisticated algorithms.

Requirements

• Fluency in Python and SQL
• Proficient in ML libraries like Scikit, PyTorch, TensorFlow, etc
• Experience with cloud-based services like the Google Cloud platform
• Solid Data Visualization skills to create charts and dashboards
• Strong analytical skills, ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
• Detail-oriented with a strong research mindset
• Ability to communicate effectively with multiple teams
• Ability to communicate and debate in English and Portuguese

Responsibilities

• Develop and optimize machine learning models to detect and prevent fraud
• Analyze data, build predictive models, and implement robust data-driven strategies to enhance risk management processes
• Handle large-scale datasets, extract meaningful insights, and develop sophisticated algorithms to protect the ecosystem

Benefits

Fully remote and distributed team