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1. Use advanced analytics methods to extract value from business data.
2. Manage the fraud prevention and detection rules in all fraud tools including but not limited to Fraud Guard EFMS SAS VI SAS VA VRM & FRM.
3. Analyze fraud trends on a periodic basis and provide recommendation to FRM management to implement new fraud prevention & detection controls.
4. Create periodic dashboards and presentations for senior management;
5. Perform largescale experimentation and build datadriven models to answer business questions
6. Conduct research on cuttingedge techniques and tools in machine learning/deep learning/artificial intelligence
7. Determine requirements that will be used to train and evolve deep learning models and algorithms
8. Articulate a vision and roadmap ...