Data Science Analyst (Fraud Strategy)

Tiger Analytics is seeking a dynamic Data Science Analyst to join our innovative team focused on Fraud Strategy. In this role, you'll leverage advanced analytics and machine learning techniques to identify fraudulent activities, enhance fraud prevention models, and contribute to strategic decision-making processes. You'll work closely with cross-functional teams to analyze data, develop predictive models, and provide actionable insights that will shape the fraud strategy for our clients.

Key Responsibilities

• Analyze large datasets to identify trends, patterns, and anomalies that indicate potential fraudulent activities.
• Develop and implement machine learning models to improve fraud detection and prevention mechanisms.
• Collaborate with stakeholders to define fraud-related metrics and KPIs, ensuring alignment with business objectives.
• Present findings and recommendations to both technical and non-technical...