Quantitative Trading & Research - Applied Researcher - Agentic AI Systems - Associate

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

At JPMorganChase, we’re building the next generation of AI-powered workflow automation. This is a hands‑on role for someone who thrives on ambiguity, ships quickly, and is energized by hard technical challenges.

Job Summary

As an Associate Applied Researcher in the Quantitative Trading & Research (QTR) Team, you’ll sit at the intersection of applied research and production engineering turning frontier GenAI capabilities into reliable, high‑leverage agentic systems that transform how we respond to inbound client requests.

Responsibilities

• Build agentic systems end‑to‑end: design, prototype, and productionize multi‑step LLM agents that retrieve context and generate accurate, well‑structured responses.
• Drive applied research by evaluating emerging techniques (tool use, planning, retrieval, evaluation frameworks, fine‑tuning, prompt optimization) and integrating the best into production.
• Own the full loop from problem framing and dataset construction through model/agent design, evaluation, deployment, and monitoring.
• Improve quality systematically via evals, error analysis, and feedback loops that convert subjective issues into measurable fixes.
• Partner cross‑functionally with sales, quant research, trading, product, and engineering to deeply understand RFQ/client workflows and ship adopted solutions.
• Build and maintain production‑grade code and systems that are observable, robust, and scalable.
• Contribute to technical direction and standards for agent design, evaluation, and safe deployment.

Required Qualifications

• Strong coding skills (Python preferred) and comfort owning production code.
• Advanced degree in Computer Science, Data Science, Machine Learning, or related field.
• Hands‑on experience building with LLMs (agent frameworks, tool use, RAG, prompt engineering, evals).
• Strong understanding of modern GenAI capabilities, failure modes, and practical mitigation strategies.
• Demonstrated applied research track record delivering ML/AI systems that moved a real business or user metric.
• Ability to explain technical tradeoffs to non‑technical stakeholders and write clearly.
• Bias to action; comfortable working in ambiguity with rapidly evolving requirements.
• Strong ownership mindset with a focus on improving what’s broken without waiting for permission.

Preferred Qualifications

• Experience with Equity Derivatives and Pricing.
• Familiarity with evaluation frameworks, LLM observability, or fine‑tuning open‑weight models.
• Experience scaling an agentic prototype into a production system used by real users.
• Experience designing and operating monitoring/QA processes for LLM outputs (quality, safety, reliability).

We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs.