Fraud & Compliance Analyst

About the role

We are looking for dedicated Anti-Fraud Engineer who is focused on combating fraud to come join our team. In this role you will help drive efforts in fraud prevention / detection and limit the impact of fraud such as AIT (Artificially Inflated Traffic) and phishing. This is achieved through deep analysis, troubleshooting, monitoring, and configuration of our products / tools. It is important that we are constantly looking for new fraud trends, with this in mind it's important that you are you analytical in your thinking and identify solutions for the problem(s). The role requires you to think outside the box to challenge the ways we are working and automate routines as much as possible. The Anti-Fraud & Quality team has members located globally. We believe in teamwork and this challenge will require good communication skills not only within the team, but across other teams as well as other product lines. As an Anti Fraud Engineer, you will: Monitor and prevent fraud proactively across systems, identifying potential threats and vulnerabilities in real-time. Develop and enhance fraud detection techniques, leveraging both existing and innovative tools to mitigate fraud risks. Document fraud detection processes and procedures to ensure consistency and maintain comprehensive records for compliance and operational purposes. Collaborate with cross-functional teams (e.g., engineering, security, and product) to provide support and guidance on fraud-related issues and best practices. Assist Account Managers by providing expertise in fraud prevention, ensuring that clients understand and implement effective anti-fraud measures. In order to be successfule for this role, we believe you have: Degree in Computer Science or a related field, or equivalent practical experience. Experience in telecommunications and/or messaging systems, with a strong understanding of their fraud-related vulnerabilities. Strong data analysis skills, with the ability to extract actionable insights from large datasets. Experience in report building using data visualization tools like Tableau or similar platforms. Familiarity with application monitoring and logging tools (e.g., Grafana, Tableau) for tracking system performance and identifying anomalies. Problem-solving mindset, with the ability to think critically and adapt fraud detection strategies to new and evolving threats. Our corporate language is English, please submit your application in English

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Company Intel

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