About us:

Tamara is the leading fintech platform in Saudi Arabia and the wider GCC region with a mission to help people make their dreams come true by building the most customer-centric financial super-app on earth. The company serves millions of users in KSA, UAE and Kuwait, and partners with leading global and regional brands such as SHEIN, Jarir, noon, Amazon, IKEA, eXtra and Farfetch as well as small and medium businesses.

Tamara is Saudi’s first fintech unicorn and is backed by Sanabil Investments, SNB Capital, Checkout.com, amongst others, operating out of its headquarters in Riyadh, Saudi Arabia with other regional and global support offices.

Your role:

Tamara’s ambition is to become the region’s favorite way to pay for what we call life’s little essentials – a new way of purchasing designed for and around our customers’ interests. We believe that great design has the ability to engage and inspire.

The Senior Fraud Analyst is a crucial member of our Fraud Management team, dedicated to mitigating fraud risks in both customer and merchant interactions. You will play a vital role in protecting our customers and merchants from financial loss by employing your investigative skills and expertise in data analysis to identify and mitigate suspicious transactions.
In this role, you'll be working closely with a cross-functional team consisting of policy managers, operations, product, data scientists, and others.

Your responsibilities:

Monitor and analyze all Tamara’s transactions:

Utilize fraud detection software and tools to identify potential fraud cases based on risk scoring, anomaly detection, and behavioral analysis.
Review flagged transactions in detail, conducting thorough investigations to confirm or dispel suspicions.
Analyze patterns and trends in fraudulent activity to develop and refine fraud prevention strategies.

Execute on Data analytics:

Extract insights (via SQL/Python) from the large volumes of data and come up with new strategies to mitigate/stop fraudulent activities
Work independently on fraud analytics, and the analysis of large datasets to ensure appropriate feedback is given to the model.

Implement Preventative measures:

Implement and update fraud prevention policies and procedures within the BNPL platform.
Develop and recommend proactive measures to mitigate future fraud risks with product teams.
Collaborate with other departments to raise awareness of fraud risks and best practices.

Communication and reporting:

Clearly communicate complex fraud findings and recommendations to stakeholders at all levels.
Prepare regular reports on fraud activity trends and prevention efforts.
Present findings and insights to management teams and key decision-makers.
Mentor and show the ropes to our more junior colleagues.

Your expertise:

Bachelor's degree or equivalent, with a minimum of 3 years of experience in fraud management, ideally in an e-commerce environment, demonstrating a strong focus on product and customer experience. Alternatively we are looking for seasoned data analysts with at least 4 years of experience with a deep interest in stopping the “baddies”.
Proven ability to develop and implement fraud rules, with a keen interest in continuous improvement of processes and customer experiences
Technical proficiency in SQL, Python/R and Excel (at least 2 years of experience) with experience in fraud scorecard development and a plus for experience with machine learning in fraud detection
Self-motivated and responsive, especially during peak periods of fraud activity with a curiosity and willingness to learn and apply emerging trends in fraud management
Strong problem-solving skills, including the ability to stay calm under pressure, excellent negotiation abilities and a talent for multitasking
Comfortable challenging the status quo to innovate and push for advanced, effective solutions in fraud management
Due to SAMA regulations we need a Saudi national in this role

All qualified individuals are encouraged to apply.

To learn more about how we protect your privacy, please visit our Candidate privacy notice.

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