Anti Fraud Algorithm Engineer Security Infra
Job Description
: Responsible for designing solutions to detect various fraudulent/risky behaviors on Shopee, including promotion fraud, logistics fraud, payment fraud, and account fraud Responsible for building and designing machine learning, deep learning, and graph models Responsible for building real-time and batch pipelines to deliver the models Responsible for designing indicators to monitor the feature and model performance and conducting model iteration Responsible for demonstrating the models to stakeholders in alignment with their expectations Requirements: Experience with state-of-art machine learning, deep learning, and graph models in fraud detection and risk control system Experience with feature designing, transformer, and clustering algorithms Excellent analytical skills in big data exploratory analysis, and statistical analysis Familiarity 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 Minimum 3 years of working experience in developing data science models Experience with identifying fraud/abuse MO on e-commerce platforms is a plus Experience with address normalization and matching is a plus Experience with automated feature engineering is a plus Experience with Java is a plus
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Job Detail
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Job IdJD983533
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IndustryNot mentioned
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Total Positions1
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Job Type:Full Time
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Salary:Not mentioned
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Employment StatusPermanent
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Job LocationMalaysia, Malaysia
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EducationNot mentioned