Python Data Analyst (Fraud and Risk)

- Analyze fraud and risk datasets - Build and maintain dashboards - Collaborate with cross-functional teams to define problems - Create rules based models - Develop data-driven insights - Develop machine learning models - Implement reporting structures - Present research and analysis - Process and analyze large datasets - Propose data-driven solutions