Associate Applied Researcher - Agentic AI for Trading

J.P. Morgan; New York (NY); On-site; USD 120,000 - 150,000; Full time

Job summary

J.P. Morgan is seeking an Associate Applied Researcher to join their Quantitative Trading & Research Team in New York. This role involves building and optimizing agentic systems using advanced GenAI capabilities.

The ideal candidate will have strong coding skills, an advanced degree in a relevant field, and experience with LLMs. Responsibilities include evaluating emerging research techniques and integrating them into production systems to enhance client interactions.

Qualifications

• Strong coding skills (Python preferred) and comfort owning production code.
• Hands-on experience building with LLMs and related frameworks.
• Demonstrated applied research track record delivering ML/AI systems.

Responsibilities

• Build agentic systems end-to-end and productionize multi-step LLM agents.
• Drive applied research by evaluating emerging techniques.
• Own the loop from problem framing to deployment and monitoring.

Skills

Strong coding skills (Python preferred)

Hands-on experience with LLMs

Strong understanding of GenAI capabilities

Ability to explain technical tradeoffs

Ownership mindset

Education

Advanced degree in Computer Science, Data Science, or Machine Learning

Job description

J.P. Morgan is seeking an Associate Applied Researcher to join their Quantitative Trading & Research Team in New York. This role involves building and optimizing agentic systems using advanced GenAI capabilities.

The ideal candidate will have strong coding skills, an advanced degree in a relevant field, and experience with LLMs. Responsibilities include evaluating emerging research techniques and integrating them into production systems to enhance client interactions.