CareerAddict

Fraud Specialist

TEKsystems

Posted on Jun 15, 2026 by TEKsystems
Dublin, Ireland
IT
Immediate Start
Annual Salary
Contract/Project

Fraud Analyst (Contract)

Dublin, Ireland - 5 days on site

6 month rolling contract

About the Role

We are looking for a highly analytical and investigative Fraud Analyst to join our Business Integrity team, specialising in fraud detection and prevention. This role is critical in identifying, understanding, and disrupting sophisticated fraud schemes targeting business platforms.

You will play a key role in uncovering fraud patterns, investigating malicious networks, and developing proactive strategies to stay ahead of evolving threat actors. Your work will directly contribute to protecting businesses, customers, and platform integrity at scale.

Key Responsibilities
  • Lead deep-dive investigations into fraudulent activity, including account takeovers, payment fraud, and coordinated abuse schemes.
  • Analyse large, complex datasets to identify fraud signals, anomalies, and behavioural patterns indicative of malicious activity.
  • Detect and track emerging fraud trends, adapting detection methods to counter evolving tactics used by threat actors.
  • Reverse-engineer sophisticated fraud attacks to understand how they operate and how they can be prevented.
  • Develop and implement fraud detection rules, monitoring frameworks, and investigative workflows.
  • Partner with Engineering, Product, Data Science, and Operations teams to design scalable fraud prevention solutions.
  • Investigate fraud networks and organised abuse rings, both on-platform and through external intelligence sources.
  • Respond to time-sensitive fraud incidents and escalations, ensuring rapid containment and mitigation.
  • Contribute to long-term strategies that reduce fraud risk, improve detection accuracy, and minimise false positives.
Skills & Experience Required
  • Strong Experience in fraud analysis, investigation, or trust & safety environments.
  • Advanced data analysis skills, with hands-on Experience using SQL and working with large datasets.
  • Ability to identify patterns in fraudulent behaviour, including behavioural, transactional, and network-based signals.
  • Experience translating data insights into fraud detection strategies and actionable recommendations.
  • Strong critical thinking skills, with the ability to approach problems from a fraudster/adversary perspective.
  • Ability to manage multiple investigations in a fast-paced, high-stakes environment.
  • Root cause analysis.
Preferred Qualifications
  • Degree (BS/MS) in Computer Science, Cybersecurity, Data Analytics, Mathematics, Statistics, or a related field (or equivalent Experience ).
  • Experience using Python, R, or similar languages for fraud analysis, automation, or investigative tooling.
  • Background in fraud detection, financial crime, cybersecurity, or risk analytics.
  • Experience working on fraud prevention systems, anomaly detection models, or rule-based detection frameworks.
  • Familiarity with common fraud typologies, such as account takeovers, identity fraud, payment fraud, and abuse of business processes.
  • Ability to anticipate and adapt to rapidly changing fraud tactics and attack vectors.
Additional Requirements
  • 2+ years of Experience performing open-ended analysis and delivering business insights related to fraud or risk.
  • 1+ year of Experience independently building queries, reports, and data pipelines.
  • Strong communication skills with the ability to clearly document fraud findings and investigation outcomes.
  • Ability to work independently while collaborating across global teams and time zones.

Job Title: Fraud Specialist

Location: Dublin, Ireland

Job Type: Contract

Trading as TEKsystems. Allegis Group Limited. Level 1, The Chase, Carmanhall Road, Sandyford, Dublin 18, Ireland. No. 909257. TEKsystems is a company within the Allegis Group network of companies (collectively referred to as "Allegis Group"). Aerotek, Aston Carter, EASi, Talentis Solutions, TEKsystems, Stamford Consultants and The Stamford Group are Allegis Group brands. If you apply, your personal data will be processed as described in the Allegis Group Online Privacy Notice available at our website.

To access our Online Privacy Notice, which explains what information we may collect, use, share, and store about you, and describes your rights and choices about this, please go our website.

We are part of a global network of companies and as a result, the personal data you provide will be shared within Allegis Group and transferred and processed outside the UK, Switzerland and European Economic Area subject to the protections described in the Allegis Group Online Privacy Notice. We store personal data in the UK, EEA, Switzerland and the USA. If you would like to exercise your privacy rights, please visit the "Contacting Us" section of our Online Privacy Notice on our website for details on how to contact us. To protect your privacy and security, we may take steps to verify your identity, such as a password and user ID if there is an account associated with your request, or identifying information such as your address or date of birth, before proceeding with your request. commitments under the UK Data Protection Act, EU-U.S. Privacy Shield or the Swiss-U.S. Privacy Shield.


Reference: 3122817598

https://jobs.careeraddict.com/post/113410575
TEKsystems

Fraud Specialist

TEKsystems

Posted on Jun 15, 2026 by TEKsystems

Print
Dublin, Ireland
IT
Immediate Start
Annual Salary
Contract/Project

Fraud Analyst (Contract)

Dublin, Ireland - 5 days on site

6 month rolling contract

About the Role

We are looking for a highly analytical and investigative Fraud Analyst to join our Business Integrity team, specialising in fraud detection and prevention. This role is critical in identifying, understanding, and disrupting sophisticated fraud schemes targeting business platforms.

You will play a key role in uncovering fraud patterns, investigating malicious networks, and developing proactive strategies to stay ahead of evolving threat actors. Your work will directly contribute to protecting businesses, customers, and platform integrity at scale.

Key Responsibilities
  • Lead deep-dive investigations into fraudulent activity, including account takeovers, payment fraud, and coordinated abuse schemes.
  • Analyse large, complex datasets to identify fraud signals, anomalies, and behavioural patterns indicative of malicious activity.
  • Detect and track emerging fraud trends, adapting detection methods to counter evolving tactics used by threat actors.
  • Reverse-engineer sophisticated fraud attacks to understand how they operate and how they can be prevented.
  • Develop and implement fraud detection rules, monitoring frameworks, and investigative workflows.
  • Partner with Engineering, Product, Data Science, and Operations teams to design scalable fraud prevention solutions.
  • Investigate fraud networks and organised abuse rings, both on-platform and through external intelligence sources.
  • Respond to time-sensitive fraud incidents and escalations, ensuring rapid containment and mitigation.
  • Contribute to long-term strategies that reduce fraud risk, improve detection accuracy, and minimise false positives.
Skills & Experience Required
  • Strong Experience in fraud analysis, investigation, or trust & safety environments.
  • Advanced data analysis skills, with hands-on Experience using SQL and working with large datasets.
  • Ability to identify patterns in fraudulent behaviour, including behavioural, transactional, and network-based signals.
  • Experience translating data insights into fraud detection strategies and actionable recommendations.
  • Strong critical thinking skills, with the ability to approach problems from a fraudster/adversary perspective.
  • Ability to manage multiple investigations in a fast-paced, high-stakes environment.
  • Root cause analysis.
Preferred Qualifications
  • Degree (BS/MS) in Computer Science, Cybersecurity, Data Analytics, Mathematics, Statistics, or a related field (or equivalent Experience ).
  • Experience using Python, R, or similar languages for fraud analysis, automation, or investigative tooling.
  • Background in fraud detection, financial crime, cybersecurity, or risk analytics.
  • Experience working on fraud prevention systems, anomaly detection models, or rule-based detection frameworks.
  • Familiarity with common fraud typologies, such as account takeovers, identity fraud, payment fraud, and abuse of business processes.
  • Ability to anticipate and adapt to rapidly changing fraud tactics and attack vectors.
Additional Requirements
  • 2+ years of Experience performing open-ended analysis and delivering business insights related to fraud or risk.
  • 1+ year of Experience independently building queries, reports, and data pipelines.
  • Strong communication skills with the ability to clearly document fraud findings and investigation outcomes.
  • Ability to work independently while collaborating across global teams and time zones.

Job Title: Fraud Specialist

Location: Dublin, Ireland

Job Type: Contract

Trading as TEKsystems. Allegis Group Limited. Level 1, The Chase, Carmanhall Road, Sandyford, Dublin 18, Ireland. No. 909257. TEKsystems is a company within the Allegis Group network of companies (collectively referred to as "Allegis Group"). Aerotek, Aston Carter, EASi, Talentis Solutions, TEKsystems, Stamford Consultants and The Stamford Group are Allegis Group brands. If you apply, your personal data will be processed as described in the Allegis Group Online Privacy Notice available at our website.

To access our Online Privacy Notice, which explains what information we may collect, use, share, and store about you, and describes your rights and choices about this, please go our website.

We are part of a global network of companies and as a result, the personal data you provide will be shared within Allegis Group and transferred and processed outside the UK, Switzerland and European Economic Area subject to the protections described in the Allegis Group Online Privacy Notice. We store personal data in the UK, EEA, Switzerland and the USA. If you would like to exercise your privacy rights, please visit the "Contacting Us" section of our Online Privacy Notice on our website for details on how to contact us. To protect your privacy and security, we may take steps to verify your identity, such as a password and user ID if there is an account associated with your request, or identifying information such as your address or date of birth, before proceeding with your request. commitments under the UK Data Protection Act, EU-U.S. Privacy Shield or the Swiss-U.S. Privacy Shield.

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Reference: 3122817598

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