Anti-fraud Algorithm Engineer
5 days ago
DepartmentEngineering and Technology- LevelEntry Level- LocationSingaporeThe Engineering and Technology team is at the core of the Shopee platform development. The team is made up of a group of passionate engineers from all over the world, striving to build the best systems with the most suitable technologies. Our engineers do not merely solve problems at hand; We build foundations for a long-lasting future. We don't limit ourselves on what we can or can't do; we take matters into our own hands even if it means drilling down to the bottom layer of the computing platform. Shopee's hyper-growing business scale has transformed most "innocent" problems into huge technical challenges, and there is no better place to experience it first-hand if you love technologies as much as we do. - Responsible for designing solutions to detect various fraudulent/risky behaviors on Shopee, including promotion fraud, logistics fraud, payment fraud, and account fraud - Build and design machine learning, deep learning, and graph models - Build real-time and batch pipelines to deliver the models - Design indicators to monitor the feature and model performance and conduct model iteration - Demonstrate the models to stakeholders in alignment with their expectations **Requirements**: - Bachelor’s degree or above in Computer Science or related fields - Experience with state-of-art machine learning, deep learning, and graph models in fraud detection - Experience with feature designing, transformer, clustering, and community detection algorithms - Excellent analytical skills in big data exploratory analysis and statistical analysis - Familiar with Python or Go language and Spark/Presto SQL - Have strong ownership of projects; be self-motivated and can communicate with stakeholders and collaborate with teammates well **Application Details for Graduate Opportunities
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