Cybersecurity Fraud Operations Analyst
Actively Reviewing the ApplicationsStaples India
India, Tamil Nadu, Chennai
Full-Time
On-site
Posted 1 day ago
•
Apply by May 18, 2026
Job Description
Duties & Responsibilities
Investigate Seeker anomaly detection alerts following the process outlined in the Alert Review SOP.
Document findings, observations, and next steps in CaseMate for every alert.
Investigate product anomaly detection alerts and escalate when conditions outlined in the Cyber Fraud OnCall SOP are met.
Review related Tableau dashboards, trend charts, and Snowflake query output to validate whether behavior is anomalous.
Identify potential fraud patterns, operational issues, or data inconsistencies and escalate to the U.S. Fraud Detection Team or Cyber Analytics partners when appropriate.
Perform validation checks to ensure alerts were worked correctly and that response steps were followed as documented.
Perform Process QA on decisions (made by System, automated fraud handler, and/or Fraud Detection Analysts), completing any linking or tagging that was missed.
Review decisions (made by System, automated fraud handler, and/or Fraud Detection Analysts), to identify false positives (“insults”).
Clean up customer histories to ensure accurate tagging.
Provide feedback to Fraud Detection Team manager and analytics to support training, rule tuning, and continuous improvement.
Review Customer Survey results to identify any potential fraud concerns.
Requirements
Basic Qualifications
Experience with various information security technologies and best practices.
Proficiency in risk assessment tools, technologies, and methods.
Expertise in designing secure networks, systems, and application architectures.
Preferred Qualifications
Experience with incident detection, incident response, and forensics.
Experience with cloud security, penetration testing, and vulnerability management.
Investigate Seeker anomaly detection alerts following the process outlined in the Alert Review SOP.
Document findings, observations, and next steps in CaseMate for every alert.
Investigate product anomaly detection alerts and escalate when conditions outlined in the Cyber Fraud OnCall SOP are met.
Review related Tableau dashboards, trend charts, and Snowflake query output to validate whether behavior is anomalous.
Identify potential fraud patterns, operational issues, or data inconsistencies and escalate to the U.S. Fraud Detection Team or Cyber Analytics partners when appropriate.
Perform validation checks to ensure alerts were worked correctly and that response steps were followed as documented.
Perform Process QA on decisions (made by System, automated fraud handler, and/or Fraud Detection Analysts), completing any linking or tagging that was missed.
Review decisions (made by System, automated fraud handler, and/or Fraud Detection Analysts), to identify false positives (“insults”).
Clean up customer histories to ensure accurate tagging.
Provide feedback to Fraud Detection Team manager and analytics to support training, rule tuning, and continuous improvement.
Review Customer Survey results to identify any potential fraud concerns.
Requirements
Basic Qualifications
Experience with various information security technologies and best practices.
Proficiency in risk assessment tools, technologies, and methods.
Expertise in designing secure networks, systems, and application architectures.
Preferred Qualifications
Experience with incident detection, incident response, and forensics.
Experience with cloud security, penetration testing, and vulnerability management.
Required Skills
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