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From Grab’s original posting
Job Description: Get to Know Our Team We are architects of trust. Our mission: shield Grab ecosystem from evolving fraud and safety threats by turning massive datasets into applicable intelligence. From deploying sequence-based models for payment risk to applying graph algorithms that unmask complex money laundering networks, we operate at intersection of deep learning and platform security. We innovate constantly, researching latest methods to neutralise tactics before they surface. Get to Know the Role You fight fraud by analysing transactional data, developing and deploying machine learning models, and collaborating with cross-functional teams to integrate fraud detection systems. Reporting to Executive Director, Data Science and Analytics, you will work as Individual Contributor in full-time on-site role at Grab KL office. You will push boundaries of machine learning and LLM applications at super-app scale, growing expertise in cutting-edge agentic systems. Apply today to help keep Grab platform safe and trustworthy! The Critical Tasks You Will Perform • You will partner with teams to architect scalable data science solutions that translate complex operational challenges into…
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