Anti-Fraud & Abuse Engineer

TL;DR

Anti-Fraud & Abuse Engineer: Designing, implementing, and operating cutting-edge monitoring and detection systems to identify and prevent fraudulent behaviors and abuse of products and services with an accent on adversarial machine learning and threat intelligence. Focus on researching and anticipating emerging abuse techniques to stay ahead of evolving threats and mitigating cost impacts of fraud.

Location: Hybrid in Belgrade, London, or Berlin

Company

hirify.global is revolutionizing the way people search and interact with the internet.

What you will do

• Design, build, and operate cutting-edge monitoring and detection systems to prevent fraudulent behaviors and abuse.
• Perform adversary hunting and analyze misuse patterns of products and services.
• Track and mitigate cost impacts of fraud across the technology stack.
• Research and anticipate emerging abuse techniques.
• Build relationships with external threat intelligence partners and industry communities.
• Establish best practices, tools, and processes for the fraud and abuse detection program.

Requirements

• Experience designing, implementing, and operating fraud detection, abuse prevention, or security monitoring systems.
• Background in security, adversarial machine learning, threat intelligence, or fraud investigations.
• Strong data analysis skills to identify patterns and anomalies in large datasets.
• Understanding of both technical and behavioral signals for effective fraud prevention.
• Excellent communication skills for technical and non-technical audiences.