Research Fraud Expert

nSure.ai is the payment fraud prevention provider of choice for Gaming, Prepaid and Gift Cards, and Crypto. We offer a managed service based on adaptive AI that deploys, for each customer, a dedicated model trained on their data. Focusing on behavior patterns - the most accurate and uniquely effective way to mitigate modern scalable fraud - our solution takes a fundamentally different approach to detecting fraud and preventing it from happening. Our customers benefit from the highest-efficacy decisions delivered in under 300 ms, with up to 98% approval rates and a chargeback guarantee, generating zero-risk net incremental profit.

The Research Fraud Expert will be responsible for identifying, analyzing, and understanding various payment fraud patterns and schemes. This role involves deep investigative research to uncover and document new and evolving fraud methodologies. The Researcher will utilize multiple intelligence sources, including the dark web, social engineering tactics (such as phone calls to potential victims), and other advanced research techniques. The insights generated will be instrumental in enhancing our system’s fraud detection and prevention capabilities.

If you are passionate about data and love working in a dynamic, fast-paced team, your place is with us!!

#Full-Time-Position

Requirements:

• Relevant experience in fraud analysis, cybersecurity, or a related field.
• Strong analytical and investigative skills.
• Proficiency in data analysis tools and methodologies.
• Excellent written and verbal communication skills.
• Ability to work independently and in a team environment.
  
  

• Conduct comprehensive research on emerging payment fraud patterns and schemes.
• Monitor dark web forums, marketplaces, and other relevant sources for intelligence on fraud methodologies.
• Employ social engineering tactics to understand fraud tactics from the victim's perspective.
• Analyze data to identify trends, commonalities, and anomalies in fraud activities.
• Collaborate with data scientists and engineers to integrate findings into the fraud detection system.
• Prepare detailed reports and presentations on findings for internal stakeholders.
• Stay updated on the latest developments in fraud detection technologies and methodologies.