About the Job
Tamara is the leading fintech platform in Saudi Arabia and the broader GCC region, dedicated to helping individuals achieve their dreams through the most customer-centric financial super-app. With millions of users and partnerships with top brands like SHEIN, Jarir, noon, IKEA, and Amazon, Tamara stands as the first fintech unicorn in Saudi Arabia, supported by notable investors including Sanabil Investments and SNB Capital.
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As a Senior Fraud Analyst, you will be an integral part of Tamara’s Fraud Management team, focusing on mitigating fraud risks in customer and merchant interactions. Your expert investigative skills and data analysis proficiency will be essential in protecting both customers and merchants from financial losses due to fraudulent activities.
Key Responsibilities
- Transaction Monitoring: Utilize fraud detection software and tools to identify potential fraud cases through risk scoring and behavioral analysis. Conduct thorough investigations on flagged transactions to verify suspicions.
- Data Analytics: Extract insights from large datasets using SQL and Python, and develop new strategies to combat fraudulent activities.
- Preventive Measures: Implement and update fraud prevention policies within the Buy Now, Pay Later (BNPL) platform and collaborate with product teams to devise proactive measures against future fraud risks.
- Communication and Reporting: Clearly communicate fraud findings and recommendations to stakeholders and prepare regular reports on fraud activity trends. Present insights to management and mentor junior colleagues.
Expertise Required
- Bachelor's degree or equivalent with a minimum of 3 years of experience in fraud management, preferably within e-commerce, or at least 4 years of experience as a data analyst with a focus on fraud prevention.
- Proven experience in developing and implementing fraud rules, with a strong interest in improving processes and customer experiences.
- Technical proficiency in SQL, Python/R, and Excel (minimum 2 years of experience), along with experience in fraud scorecard development and familiarity with machine learning in fraud detection.
- Ability to work independently, especially during high activity periods, and a willingness to learn and apply new trends in fraud management.
- Strong problem-solving skills and the ability to remain calm under pressure, with excellent negotiation and multitasking abilities.
Language Requirements
Due to SAMA regulations, a Saudi national is required for this role.
All qualified individuals are encouraged to apply.
