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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