Anti Fraud Engineer

About Sinch

We are Sinch, a global leader in cloud communication, offering innovative solutions that power seamless customer experiences through SMS, voice, video, and messaging. Our technology enables businesses to engage with customers around the globe efficiently and effectively. With a presence in more than 50 countries, our team is passionate about pushing the boundaries of what's possible in communication.

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., Datadog, Elasticsearch) 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

Our Values

At Sinch we “Dream Big”, “Win Together”, “Keep it simple” and “Make it Happen”. These values are our foundation for fostering an environment where diversity of thinking, skills and experiences are embraced, delivering innovation and better business results.

Bring your authentic self to Sinch

Here at Sinch we embrace diversity and work to create an inclusive workplace where everyone can thrive. No matter who you are, you'll be able to explore new career and growth options - sharing your voice, building your path and making it happen with us.

If this role isn’t what you’re looking for, please consider other open roles on our career page: Sinch Careers

Our Hiring Process

At Sinch, we are committed to following a recruitment process that is fair, objective, consistent, and non-discriminatory. To help us place the right people in the right role, we believe in science-based and fair assessment methods. We follow a competence-based, structured interview process where your skills, experience, and attributes relevant to the role and Sinch will be assessed. As part of our recruitment process, pre-employment testing is used to help us increase our hiring success by identifying the candidates that are most likely to thrive and be successful in the role. We acknowledge that there are two parties deciding in this process and welcome you to ask any questions you may have at any stage of the process.

Requirements