Overview

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.

Key responsibilities

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

Required experience

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

Bonus points

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    Experience with machine learning and artificial intelligence in fraud detection.
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    Advanced knowledge of SQL and experience with big data technologies.
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    Proven track record of uncovering and preventing significant fraud incidents.
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    Ability to develop and implement proactive fraud prevention measures.
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    Strong network within the cybersecurity and fraud prevention communities.

To apply

Send your CV, a snappy cover letter which highlights your expertise, skills and experience and any relevant links/attachments to your work.

Apply here

Have questions?Write to us

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