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Fraud Risk Analyst

Tamara
Riyadh, KSA
Full-time
Entry
Onsite
Discovered 1 weeks ago
Fraud risk managementFraud investigationsFraud analyticsData analysisSQLRisk and control assessment
Free

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Fraud risk managementFraud investigationsFraud analytics
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About Tamara

Tamara is a fintech platform serving customers and partner merchants across Saudi Arabia and the GCC region.

The platform provides financial solutions across retail, travel, education, healthcare, and other sectors.

Role Overview

The Fraud Risk Analyst joins the Fraud team as a Second Line of Defense role.

The role covers fraud governance, policies, independent challenge, regulatory coordination, risk assessment, control testing, reporting, data, and models.

The role must remain independent from First Line activities and should frame, challenge, and assure rather than build or run First Line controls.

The analyst will investigate fraud cases, analyze data, identify control gaps, and support preventive and detective measures.

Responsibilities

  • Support execution of the Fraud Framework through investigations, data analysis, and reporting.
  • Analyze transactional and operational data using SQL or analytical tools to identify trends and control weaknesses.
  • Prepare evidence, documentation, and reports for governance bodies, regulatory inquiries, internal reviews, and submissions.
  • Support fraud risk assessments, control testing, issue tracking, and remediation follow-up.
  • Maintain fraud policies and procedures and collaborate with Fraud Operations on case validation and control improvements.
  • Support regulatory engagements, supervisory notifications, the observation register, Internal Audit interface, data governance, and KRI reporting.

Required and Preferred Expertise

  • 2–3 years of experience in fraud risk, risk and control, internal audit, compliance, or a second-line or assurance role.
  • Experience or exposure to fraud analytics, data analysis, or SQL for case validation and trend detection.
  • Strong investigative, problem-solving, analytical, and root-cause analysis skills.
  • Familiarity with SAMA’s Counter-Fraud Framework or similar standards is a plus.
  • A background in IT, Computer Science, Engineering, or a related technical field is preferred.
  • Understanding of the three-lines-of-defense model and the First Line and Second Line independence boundary.
  • Comfort working with fraud and loss data, management information, KRI dashboards, Excel or Sheets, and potentially SQL.
  • Excellent written English, attention to detail, deadline ownership, and ability to track actions to closure.

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