Network Security Specialist/Forensic Analyst

Responsibilities

• Lead and conduct in-depth investigations into suspected payment card fraud and other financial crimes, from initial detection to final resolution.
• Utilize advanced digital forensic techniques to acquire, preserve, and analyze digital evidence from various sources to support investigations and root cause analysis.
• Monitor and analyze transaction data, user behavior, and security alerts from SIEM (“Security Information and Event Management”) and fraud detection systems to identify suspicious patterns and indicators of compromise.
• Implement a monitoring system to identify at a minimum:
  • Unusual spikes in failed payment transaction attempts.
  • High volume of low-value transactions from the same IP or device on single credit cards.
  • Multiple transactions in quick succession utilizing different credit cards but originating from the same IP, device fingerprint, or session ID.
• Perform Log & SIEM Analysis for web and payment logs to detect at a minimum:
  • Burst patterns.
  • Congestion rates.
  • Consistent failed authorizations.
  • Repeated use of credit card data.
• Enable alerting on anomalies such as:
  • Transaction volume per minute/hour.
  • Failure rate thresholds.
  • Collaborate with internal and external teams, including legal, compliance, and law enforcement, to manage investigation cases and provide expert testimony or detailed reports as needed or required.
  • Conduct forensic readiness assessments and contribute to the development of the incident response plan to ensure the business enterprise can effectively respond to a data breach.

Requirements

• 8-10 years of progressive experience in cybersecurity, with a focus on payment fraud detection, resolution, and digital forensics.
• Demonstrated expertise in security best practices, risk analysis approaches and their practical application.
• Familiarity with ISO, CIS, NIST, CSF and SCF frameworks and security controls.
• Proven experience with forensic tools and applications (e.g., EnCase, FTK, or similar).
• Strong analytical skills, with a track record of using data analysis tools (e.g., SQL, Python, other scripting languages) to investigate complex financial fraud schemes.
• Excellent written and verbal communication skills, capable of producing detailed reports and presenting findings to technical and non-technical audiences, including executive leadership.
• Certifications such as Certified Fraud Examiner (CFE), Certified Payments Professional (CPP), and Certified Anti-Money Laundering Specialist (CAMS) are highly preferred.
• Bachelor’s or Master’s degree in Cybersecurity, Computer Science, or a related field.