Cyber Security Fraud Analyst

Job Summary:

We are seeking a detail-oriented and proactive Cyber Security Fraud Analyst to join our cybersecurity team. The successful candidate will be responsible for identifying, analyzing, and preventing fraudulent activities across digital channels, while also playing a key role in helping the company standardize fraud detection and response processes.

Key Responsibilities:

• Monitor and analyze security logs, fraud reports, and transaction patterns to detect suspicious activities.
• Investigate fraud incidents involving phishing, identity theft, account takeovers, and other digital threats.

• Collaborate with internal teams (e.g., IT, risk, legal, and compliance) to coordinate incident response and remediation.
• Develop and implement standardized processes for fraud detection, case handling, and reporting.
• Utilize cybersecurity and fraud prevention tools to analyze data, generate alerts, and conduct forensic analysis.
• Generate detailed reports on fraud trends, patterns, and risk factors; provide recommendations for mitigation.
• Participate in the design of new fraud controls and rules in collaboration with security engineers and product teams.
• Train internal teams and stakeholders on fraud awareness, red flags, and reporting procedures.
• Support compliance with regulatory and industry standards (e.g., PCI DSS, GDPR, SOX).

Required Qualifications:

• Bachelors degree in Cybersecurity, Information Technology, Computer Science, or a related field.
• 3+ years of experience in fraud analysis, cybersecurity, or threat detection.

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• Strong knowledge of fraud typologies, cyber threats, and digital attack vectors.
• Proven experience in designing and standardizing operational procedures or playbooks.
• Familiarity with SIEM tools (e.g., Splunk, QRadar), fraud management platforms, and data analysis tools.
• Understanding of KYC, AML, and fraud-related regulatory frameworks.
• Excellent analytical, problem-solving, and communication skills.

Preferred Qualifications:

• Industry certifications such as CFE, CEH, CISSP, or CISA.
• Experience working in financial services, e-commerce, or a high-volume transaction environment.
• Familiarity with machine learning-based fraud detection systems.