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Senior Data Analyst - Fraud

Unlock employer Riyadh, Saudi Arabia Posted: 13 Jul 2025

Financial

  • Estimate: $40k - $60k*
  • Zero income tax location

Accessibility

  • Office Only
  • No Visa Provided

Requirements

  • Experience: Senior
  • English: Professional

Position

About the Job
As a Senior Fraud Analyst in our Fraud Management team at Tamara, you will play a vital role in protecting our customers and merchants from financial loss. Your responsibilities include investigating suspicious transactions and mitigating fraud risks within both customer and merchant interactions. You will collaborate closely with policy managers, operations, product teams, and data scientists.


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About Us
Tamara is the leading fintech platform in Saudi Arabia and the wider GCC region, with a mission to help people create their dreams by building the most customer-centric financial super-app. Serving millions of users and partnering with notable brands such as SHEIN, Jarir, noon, IKEA, and Amazon, Tamara is the first fintech unicorn in Saudi Arabia, backed by prominent investors like Sanabil Investments and SNB Capital.


Your Responsibilities

  • Monitor and analyze all transactions to identify potential fraud cases using detection software and tools.
  • Conduct thorough investigations of flagged transactions to confirm or dispel suspicions.
  • Analyze patterns and trends in fraudulent activities to refine strategies for prevention.
  • Extract insights from large datasets using SQL/Python to develop new strategies to mitigate fraud.
  • Implement and update fraud prevention policies within the BNPL platform and recommend proactive measures to mitigate risks.
  • Communicate complex findings and recommendations to stakeholders at all levels and prepare reports on fraud activity trends.
  • Mentor junior colleagues in fraud management.

Your Expertise

  • Bachelor's degree or equivalent with a minimum of 3 years of experience in fraud management or at least 4 years in data analytics focused on fraud prevention.
  • Proven ability to develop and implement fraud rules with a commitment to improving processes and customer experiences.
  • Technical proficiency in SQL, Python/R, and Excel (minimum 2 years' experience in these areas); experience with machine learning in fraud detection is a plus.
  • Strong problem-solving skills and the ability to work effectively under pressure.
  • Self-motivated, curious, and able to learn and apply emerging trends in fraud management.

Language Requirement:
Due to SAMA regulations, applicants must be Saudi nationals.

All qualified individuals are encouraged to apply.

Work Conditions:
On-site
Location:
Riyadh, Riyadh, Saudi Arabia

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