Understand each business line and payment scenarios well, design Red Flags to monitor potential compliance risk scenarios; Optimize and iterate compliance strategy standardly, systematically, timely and proactively; Design and develop machine learning algorithms to detect suspicious transactions and accounts effectively and assist investigation procedures efficiently; Discover potential syndicates and concerted behavior communities from large-scale graph data based on graph neural networks
Requirements:
Bachelor and above with majors in computer science, computer engineering, statistics, applied mathematics, data science or other related disciplines; 2 years and above relevant experience, with solid experience with data structures and algorithms; Familiar with at least one framework of TensorFlow/PyTorch/MXNet and its training and deployment details; Strong coding skills in at least one of the following programming frameworks, e.g. Python, Java, C/C++, etc; Familiar with big data related frameworks and applications, those who are familiar with MR or Spark are preferred
Text:
Machine Learning Engineer (Compliance) - Global Payments Understand each business line and payment scenarios well, design Red Flags to monitor potential compliance risk scenarios; Optimize and iterate compliance strategy standardly, systematically, timely and proactively; Design and develop machine learning algorithms to detect suspicious transactions and accounts effectively and assist investigation procedures efficiently; Discover potential syndicates and concerted behavior communities from large-scale graph data based on graph neural networks Bachelor and above with majors in computer science, computer engineering, statistics, applied mathematics, data science or other related disciplines; 2 years and above relevant experience, with solid experience with data structures and algorithms; Familiar with at least one framework of TensorFlow/PyTorch/MXNet and its training and deployment details; Strong coding skills in at least one of the following programming frameworks, e.g. Python, Java, C/C++, etc; Familiar with big data related frameworks and applications, those who are familiar with MR or Spark are preferred
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