Responsibilities
Design and develop machine learning algorithms to combat financial compliance risks and identify potential compliance issues, uncover potential emerging risks.
Focus on live streaming, e-commerce, and other business scenarios, exploring new paradigms for financial security in internet-based contexts.
Stay up-to-date with the latest advancements in AI, Generative AI, LLM, and VLM.
Improve compliance operation review efficiency
Explore the application and implementation of cutting-edge research such as large language models, graph neural networks, and multimodal techniques in financial risk scenarios.
Work with datasets for image processing, text analysis, and multimodal model training.
Qualifications
Minimum Qualifications: Final year Ph.D or recent Ph.D graduates in Computer Science, engineering or quantitative field.
Experienced in AI modeling, familiar with at least one framework of TensorFlow / PyTorch / MXNet;
Has good learning and communication skills, a strong sense of curiosity and responsibility, a spirit of exploration, and self-motivation.
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