Senior Risk Strategy Data Scientist

Job Summary

To drive innovative fraud and credit risk management strategies, the full-time Senior Risk Strategy Data Scientist will collaborate with cross-functional teams to build and maintain risk strategies, utilizing data insights to influence stakeholders and operationalize initiatives in a remote-eligible role.

Key responsibilities

• Formulate and operationalize fraud and credit risk management strategies across various payment channels
• Utilize data to inform insights, refine risk strategies, and drive initiatives in collaboration with cross-functional teams
• Manage the development and deployment of risk management methodologies, including predictive fraud models and AI/ML tools

Required qualifications

• 8 years of experience in risk management within Fintech or financial services, with 3-5 years in a management role
• Bachelor's degree; MS/MA/MBA preferred in Business, Economics, Finance, Analytics, Mathematics, or a related field
• Strong knowledge of fraud detection and prevention, and experience with SQL and data visualization tools
• Hands-on experience leveraging AI/ML tools for fraud strategy enhancement and familiarity with AI-assisted analytics platforms
• Demonstrated ability to manage cross-functional processes and communicate effectively with various stakeholders