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Responsibilities
- Help in the development and implementation of fraud prevention strategies for clients for digital channels (mobile and web) and continuously manage and optimize those strategies across the different fraud prevention systems
- Optimize existing controls and strategies to improve client experience and/or reduce fraud loss exposure, fully complying with internal policies and applicable laws and regulations
- Support large scale projects including testing and deployment of new internally developed machine learning models or vendor models and manage large scale end to end projects
- Partner in decision quality/defect reviews to identify strategy opportunities on incurred fraud losses and oversee complex analyses identifying authentication and procedure improvement opportunities
- Leverage customer and industry data to build risk segmentation and mitigation strategies
- Complete complex analyses identifying authentication strategy and procedure gaps; manage implementation process across several business groups to affect change
- The position requires substantial interaction with Policy, Operations, and other functional business partners to optimize business strategies
- Apply subject matter expertise to the prioritization and planning of projects in conjunction with fraud management policies and strategies
- Must be able to effectively provide updates and communicate key initiatives to senior management
Qualifications
Minimum 2+ years of experience in statistical and data analysis with working knowledge of at least one of the following statistical software packages SAS/SQL (required) SPSS, or equivalent UNIX experience desired
- Proficient or willing to learn analytical tools such as Python or R
- Experienced visualizing data using tools like Tableau
Employment Type : | Full Time |
Salary : | Not Mentioned |
Deadline : | 01st Jun 2020 |
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