To enhance the safety of user funds, the full-time Senior Risk Data Scientist will develop advanced risk models, collaborate across teams, and drive data-driven insights in a fully remote environment. Key responsibilities Build machine learning-based fraud and risk models to reduce losses and increase pass rates Design and analyze A/B experiments to evaluate the effectiveness of risk models Provide technical leadership and develop tools to automate processes within the Risk team Required qualifications 6+ years in Data Science/Analytics with at least 3 years in Financial Risk Proficient in SQL and experienced with R or Python Demonstrated experience in building machine learning-based fraud and risk models Strong understanding of risk analytics and fraud models Experience in a high-growth tech environment, preferably in fintech