Senior Risk Data Scientist

Job Summary

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