Anti-Fraud & Abuse Engineer (London, Belgrade, Berlin)
Role Overview
The Anti-Fraud & Abuse Engineer at Perplexity is a senior-level position focused on designing and implementing advanced monitoring systems to detect and prevent fraudulent activities. This role involves collaborating with a dynamic security team to analyze misuse of products, perform adversary hunting, and establish best practices in fraud detection. The hire will have a significant impact on the integrity of the company's services and user trust.
Perks & Benefits
Perplexity offers a fully remote work setup, allowing for flexibility in work-life balance. The role is expected to align with European time zones, fostering collaboration within the team. Opportunities for career growth are implied through the emphasis on building relationships with external partners and staying ahead of emerging threats, contributing to a culture of continuous learning and innovation.
Full Job Description
Perplexity is seeking a highly skilled, experienced and hands-on Anti Fraud & Abuse Engineer to join our dynamic security team, revolutionizing the way people search and interact with the internet. You will be responsible for designing, implementing, and operating cutting-edge monitoring and detection systems to identify and prevent fraudulent behaviors and abuse of our products and services.
Responsibilities
Design, build, and operate monitoring and detection systems to identify and prevent fraudulent behaviors and abuse
Perform adversary hunting to detect abuse and misuse of our products and services
Analyze how our products and services are being misused or abused
Track and mitigate cost impacts of fraud and abuse across our technology stack
Research and anticipate emerging abuse techniques to stay ahead of evolving threats
Build and maintain relationships with external threat intelligence partners and industry communities
Establish best practices, tools, and processes for our fraud and abuse detection program
Qualifications
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, able to identify patterns and anomalies within large datasets
Understanding of both technical and behavioral signals to support effective fraud prevention strategies
Excellent communication skills, able to present to both technical and non-technical audiences
Similar jobs
Found 6 similar jobs