| Position | Fraud Specialist |
| Posted | 30 Jul 2026 |
| Expired | 29 Aug 2026 |
| Company | TEKsystems |
| Location | Dublin | IE |
| Job Type | Full Time |
Latest job information from TEKsystems for the position of Fraud Specialist. If the Fraud Specialist vacancy in Dublin matches your qualifications, please submit your latest application or CV directly through the updated Jobkos job portal.
Please note that applying for a job may not always be easy, as new candidates must meet certain qualifications and requirements set by the company. We hope the career opportunity at TEKsystems for the position of Fraud Specialist below matches your qualifications.
Description. We are an operations team looking for candidates who can apply a diverse toolkit of data analysis, internal and open-source tools, and investigative work to combat payments fraud and protect users and business partners. Looking for agents to support our team and directly work with end users to resolve live time tickets. Responsibilities Become an expert in the adversarial ecosystem in our payment products and stay up to date on latest product fraud trends. Analyze large datasets to identify meaningful signals and patterns that correlate with fraud and abuse. Use in-house tools to label images, signals, and payments based on existing protocols. Make informed decisions on difficult cases and provide relevant feedback to improve the specificity of review protocols. Identify new fraud trends and adversarial behaviors; and collaborate with our business process team to improve fraud detection capabilities. Partner with team members to improve processes and tools of the teams labeling interface. Required Qualifications BS or equivalent work experience (ex. degrees - Computer Science, Information Systems, Intelligence Studies, Cybersecurity, Mathematics, Statistics, Business Administration, Criminal Justice, or Accounting). 3+ years of work experience in online fraud investigations, trust and safety, and/or cybersecurity. Experience in data review and/or ML labeling. Ability to manipulate raw datasets in Excel and interpret data from charts, graphs, and other analytical visualizations. Experience mitigating time-sensitive escalations. TPBN1_IJ
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