
Data-Driven Fraud Prevention Specialist
2 weeks ago
We are seeking a highly skilled Analytics Manager to lead our efforts in fraud and scam prevention.
- The ideal candidate will have an analytical mindset, understanding of fraudster and scammer behavior, and proficiency in programming languages such as SQL, Python, or SAS.
- They should also have experience with collaborative problem-solving, proactive thinking, and effective stakeholder management.
To succeed in this role, you will need a strong educational background in a quantitative discipline and the ability to drive business outcomes through data-driven insights.
Key Responsibilities- Innovate detection system rules to ensure maximum fraud and scam detection while minimizing false positives and detection alert volumes.
- Work closely with stakeholders to identify trends and anomalies and provide actionable recommendations for improvement.
- Maintain alignment with strategic objectives and compliance with regulatory requirements.
- Analytical mindset and problem-solving skills
- Understanding of fraud and scam behavior
- Proficiency in programming languages (SQL, Python, SAS)
- Collaborative spirit and effective stakeholder management
- Educational background in a quantitative discipline
This role offers a unique opportunity to make a meaningful impact on our customers' security and satisfaction. As an Analytics Manager, you will be part of a dynamic team that values collaboration, innovation, and continuous learning.
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