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.
