Master's degree in Data Science, Statistics, or a related field., Proficiency in machine learning algorithms and data analysis tools., Experience with fraud detection techniques and analytics., Strong programming skills in Python or R..
Key responsibilities:
Lead the development of fraud detection models and analytics.
Collaborate with cross-functional teams to implement data-driven solutions.
Present findings and insights to stakeholders and management.
Monitor and evaluate the performance of fraud detection systems.
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