Senior AI Quant Scientist for Market Foundation Models

JPMorgan Chase & Co.; Hong Kong; On-site; HKD 1,400,000 - 2,300,000; Full time

Job summary

JPMorgan Chase & Co. in Hong Kong seeks an AI/ML quantitative researcher to lead foundation-model research across FX, rates, commodities, credit, and equities.

You will pre-train Transformer-based and time-series models from scratch on vast market datasets to develop robust, transferable capabilities for automated trading and risk management. This role emphasizes solving scaling laws, data efficiency, and robustness under real constraints, collaborating with ML infra engineers and trading teams

Qualifications

• Advanced degree in ML, CS, statistics, mathematics, or related quantitative field.
• Proven experience pre-training a large model from scratch (Transformer/LLM/multimodal/time-series).
• Experience building large-scale data pipelines and distributed training systems using PyTorch, JAX, or equivalent.
• Evidence of research quality through successful large-model training or production deployment.

Responsibilities

• Pre-train Transformer-based and time-series foundation models on large market datasets.
• Develop data representations, tokenization schemes, self-supervised objectives, model architectures, and distributed training recipes.
• Fine-tune and post-train models for alpha generation, pricing, market making, execution, and risk management.
• Study scaling laws, transfer across instruments and regimes, data efficiency, and trade-offs among model quality, cost, and latency.
• Design evaluation protocols linking pre-training metrics to economically meaningful outcomes and live trading performance.
• Build reusable training, checkpointing, evaluation, and model-serving components with ML infrastructure engineers.

Skills

Pre-training large models

Transformer/LLM/time-series

PyTorch/JAX

Research quality output

Distributed training

Education

Master’s degree or PhD in a quantitative field

Tools

PyTorch

JAX

Job description

JPMorgan Chase & Co. in Hong Kong seeks an AI/ML quantitative researcher to lead foundation-model research across FX, rates, commodities, credit, and equities.

You will pre-train Transformer-based and time-series models from scratch on vast market datasets to develop robust, transferable capabilities for automated trading and risk management. This role emphasizes solving scaling laws, data efficiency, and robustness under real constraints, collaborating with ML infra engineers and trading teams