AI/ML Quant Researcher — Market Signals & Trading Models

JP Morgan Chase; Greater London; On-site; GBP 120,000 - 170,000; Full time

Job summary

J.P. Morgan is seeking a Quantitative Trading & Research – AI/ML Quantitative Researcher to lead research on transformer-based and time-series foundation models built from large-scale market data.

You will push the boundaries of robust, transferable AI for electronic trading across FX, rates, and commodities. The role emphasizes hands-on pre-training of large models from scratch, with a focus on scaling laws, data efficiency, and robustness in live environments, working alongside ML infra

Qualifications

• Advanced degree (Master's, PhD, or equivalent experience) in ML/CS/math or related quantitative field.
• Experience pre-training a large model from scratch (Transformer/LLM/time-series).
• Experience building large-scale data pipelines and distributed training systems using PyTorch, JAX, or equivalents.
• Deep knowledge of large-model training, evaluation, optimization, and benchmarking.
• Evidence of research quality via large-model training, high-impact research, or production deployment.

Responsibilities

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

Skills

Advanced degree

Transformer training experience

Large-model training

Distributed training experience

Education

Master's degree or PhD

Tools

PyTorch

JAX

Distributed training systems

Job description

J.P. Morgan is seeking a Quantitative Trading & Research – AI/ML Quantitative Researcher to lead research on transformer-based and time-series foundation models built from large-scale market data.

You will push the boundaries of robust, transferable AI for electronic trading across FX, rates, and commodities. The role emphasizes hands-on pre-training of large models from scratch, with a focus on scaling laws, data efficiency, and robustness in live environments, working alongside ML infra