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Credit Analyst

Tamara
Riyadh, Saudi Arabia
Tamara logo

Credit Analyst

Tamara
Riyadh, Saudi Arabia
posted 3 days ago
12People have clicked1 open position

Job Details

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Job Description

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,customer/merchant 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
Join the revolution
Tamara is a vibrant hub of exceptional individuals worldwide, with over 40+ nationalities committed to working with the broadest talent pool possible.

We're proud of the wealth of cultural backgrounds that shape our teams, ensuring every experience is acknowledged and celebrated.
We seek self driven individuals, fuelled by curiosity, ready to take control of their professional and personal development.

We’re creating a place where possibilities are for the taking through career mobility, mentoring and cross-border collaboration.

This approach has earned us a spot as one of the competitive tech companies to work for.
All qualified individuals are encouraged to apply.
To learn more about how we protect your privacy, please visit our Candidate privacy notice.


Job Requirements

Candidates should have a bachelor's degree and a minimum of 3 years of experience in fraud management or 4 years in data analysis.

Technical proficiency in SQL, Python, and Excel is required, along with strong problem-solving skills.

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