AI Scientist (Financial World Model, Securities Trading)

Classy Wheeler Limited; Hong Kong; On-site; HKD 600,000 - 900,000; Full time

Job summary

A leading financial technology firm in Hong Kong is seeking an AI model trainer to develop advanced financial models focused on securities trading. Key responsibilities include training AI models using historical market data and collaborating with engineering teams. The ideal candidate should have hands-on experience with deep learning frameworks, a strong mathematical foundation, and excellent communication skills in both Chinese and English. This is a permanent position offering the chance to work at the forefront of financial AI.

Qualifications

• Hands-on experience with AI model training and deep learning frameworks such as PyTorch or JAX.
• Strong mathematical foundation in probability, statistics, and linear algebra.
• Proven experience in large-scale model training.

Responsibilities

• Develop advanced financial world models focused on securities trading.
• Build simulation environments for forecasting and strategy testing.
• Collaborate with data engineering and quantitative teams.

Skills

AI model training

Deep learning frameworks (PyTorch, JAX)

Mathematics (probability, statistics, linear algebra)

Cross-border communication (Chinese, English)

Tools

Distributed training frameworks (DeepSpeed, Megatron)

Job description

Client Description

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

Job Description

• 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 modelsStay 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

Job Requirements

• 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