Data Science Specialist
Há 6 dias
About the Role
We are seeking a detail-oriented professional to support our fraud defenses by strengthening process audits, rule tuning, and data-driven investigations. This role focuses on validating the effectiveness of existing automations and detection signals.
Key Responsibilities
- Audit and validate existing fraud rules configured in a leading platform.
- Support quality assurance reviews of automations related to fraud monitoring and decision-making.
- Analyze triggers and evaluate false positives/negatives with the Anomaly Detection team.
- Design and test dashboards and data visualizations for fraud alerts and system monitoring.
- Document and report gaps or inefficiencies in current detection logic or process automations.
- Perform root cause analysis of anomalous behavior and support process remediation.
- Participate in fraud case reviews, helping to translate operational observations into structured findings.
Requirements
- Strong analytical skills and passion for fraud prevention and operational risk reduction.
- Collaborative mindset and ability to work closely with multiple teams.
About InComm Payments
InComm Payments is a leader in Innovative Payments Technology, with over 30 years of experience and a global presence. We value innovation, quality, passion, integrity, and responsibility in all aspects of our business.
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