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Job Purpose
The Fraud Analyst at Group-IB plays a critical role in identifying, analyzing, and mitigating fraud risks using advanced technologies and methodologies. This position involves monitoring suspicious activities, conducting detailed investigations, and supporting clients with actionable insights to protect their businesses from fraudulent activities.
Role and Responsibilities
1- Fraud Detection and Monitoring
2- Continuously monitor transactions, patterns, and activities for signs of fraud using Group-IB’s cutting-edge tools.
3- Identify anomalies in customer behavior, system transactions, or access patterns.
4- Conduct in-depth analysis of identified fraud cases and prepare comprehensive reports.
5- Utilize advanced analytical tools and techniques to investigate and determine fraud sources.
6- Liaise with internal and external teams to gather intelligence and evidence.
7- Collaborate with clients to understand their fraud challenges and provide tailored solutions.
8- Work closely with the Threat Intelligence and Digital Risk Protection teams to identify emerging fraud trends.
9- Share findings and recommend best practices to improve Group-IB’s fraud detection capabilities.
10- Assist in developing and maintaining fraud detection rules, policies, and procedures.
11- Ensure compliance with regulatory requirements and industry standards in all fraud-related activities.
Qualifications and Education Requirement
Bachelor’s degree in Cybersecurity, Computer Science, Finance, or a related field.Minimum [5] of experience in fraud detection, analysis, or a related role.Hands-on experience with fraud detection tools, SIEM systems, and analytical software.Strong analytical and problem-solving skills with attention to detail.Excellent written and verbal communication skills, with the ability to present technical findings to non-technical audiences.Preferred Qualifications Certification in Fraud Examination (CFE), Certified Fraud Analyst (CFA), or equivalent.Experience with Group-IB solutions and platforms.Knowledge of fraud schemes in specific industries (e.g., banking, e-commerce, telecommunications).Familiarity with machine learning and AI-driven fraud detection tools.
Education
Bachelor’s degree in Cybersecurity, Computer Science, Finance, or a related field.
Skills
Analytical Thinking: Ability to analyze complex data to detect fraudulent activities.
Attention to Detail: Thoroughness in examining fraud cases and preparing reports.
Collaboration: Strong teamwork skills to work across departments and with clients.
Adaptability: Quick learning and adaptation to emerging fraud patterns and technologies.
Job Details
Preferred Candidate
