Company Description: A leading financial technology and securities firm with research hubs in Hong Kong and the United States, focusing on artificial intelligence applications in capital markets and quantitative trading.
Location: Hong Kong / United States / Remote
Nature: Permanent
• Develop advanced financial world models focused on securities trading and stock market structures
• Build simulation environments aligned with financial logic for forecasting and strategy testing
• Train probabilistic inference models using historical market data, trading rules, and unstructured information
• Research and optimize model architectures including Transformer, Mamba, MoE, Diffusion, and RLHF
• Collaborate with data engineering and quantitative teams on data cleaning, labeling, and transformation strategies
• Conduct performance analysis, reporting, experimental validation, and explainability studies of models
• Stay updated on cutting-edge research in financial AI, world models, large agents, and deep reinforcement learning
• Contribute to publications, technical papers, and knowledge sharing within the team
• Hands-on experience in AI model training and deep learning frameworks such as PyTorch or JAX
• Strong mathematical foundation in probability, statistics, linear algebra, time series, and stochastic processes
• Proven experience in large-scale model training and big data processing
• Expertise in at least one domain: world models, probabilistic models, reinforcement learning, or generative models
• Excellent communication skills in both Chinese and English for cross-border collaboration
• Preferred background from leading AI teams such as Alibaba Qwen or DeepSeek core training teams
• Demonstrated achievements in world models, probabilistic forecasting, quantitative AI, or LLM training
• Familiarity with financial market microstructure, matching rules, and quantitative strategies
• Experience in distributed training frameworks such as DeepSpeed, Megatron, or ColossalAI
• Ability to work independently and deliver results in a fast-paced, international environment
