[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All JPMorganChase jobs](https://jobs.opennash.com/companies/jpmorganchase/) · [Search jobs](/search/) JPMorganChase · New York, NY # Quantitative Trading & Research - Applied Researcher – Agentic AI Systems - Associate New York, NY, United States Research & Science Listed on JPMorganChase’s official careers site. Posted June 5, 2026. Check that it is still open and apply there. [Apply on JPMorganChase’s careers site →](https://jpmc.fa.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1001/job/210756430) [OpenNash Jobs](https://jobs.opennash.com/) / [JPMorganChase](https://jobs.opennash.com/companies/jpmorganchase/) / Quantitative Trading & Research - Applied Researcher – Agentic AI Systems - Associate ## Job description Posting 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. ### Job 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, capabilities, and skills - 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, capabilities, and skills 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) ## At a glance - Posted by the employer: Jun 5, 2026 - First seen by OpenNash: Jul 10, 2026 - Last checked: Oct 13, 2026 - Listed for: 130 days - Location: New York, NY, United States[Apply on JPMorganChase’s careers site →](https://jpmc.fa.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1001/job/210756430) ## More jobs at JPMorganChase ### [2027 AI Research Associate Program - Internship](https://jobs.opennash.com/companies/jpmorganchase/jobs/e26a8cf10129ce966f7b/) New York, NY, United States ### [2027 Quantitative Research - Risk and Treasury - Summer Internship - Associate - United States](https://jobs.opennash.com/companies/jpmorganchase/jobs/6a25e9b9455f400c0c62/) New York, NY, United States ### [2027 Quantitative Research – Asset Management – Summer Internship – Analyst - United States](https://jobs.opennash.com/companies/jpmorganchase/jobs/64a47a5ac2920ff952e0/) New York, NY, United States ### [2027 Quantitative Research – Markets – Summer Internship - Analyst – United States](https://jobs.opennash.com/companies/jpmorganchase/jobs/c23343c21edad65b1660/) New York, NY, United States ### [2027 Quantitative Research – Markets – Summer Internship - Associate– United States](https://jobs.opennash.com/companies/jpmorganchase/jobs/c7a96b34ff8300ca9e87/) New York, NY, United States ## Similar jobs at other companies ### [Cyber Applied Research Scientist - Arlington VA](https://jobs.opennash.com/companies/lockheed-martin/jobs/c1111c158ce89876efc5/) Lockheed Martin · Arlington, VA ### [Associate, Securities Lending Quantitative Research and Algorithmic Trading, BlackRock Global Markets (BGM)](https://jobs.opennash.com/companies/blackrock/jobs/1b54e46815803d4196c8/) BlackRock · New York, NY ### [Fixed Income Division – Associate, Applied Mathematician - Electronic Trading & Quantitative Finance (New York)](https://jobs.opennash.com/companies/morgan-stanley/jobs/c08b19cc71e945bee3ab/) Morgan Stanley · New York, United States of America ### [Quantitative Analyst, Quantitative Research](https://jobs.opennash.com/companies/intercontinentalexchange/jobs/4b33ac717cfa8f4ea878/) IntercontinentalExchange · Atlanta, Georgia ### [Electronic Trading Quantitative Analyst](https://jobs.opennash.com/companies/ubs/jobs/883867ad5a12c12368ff/) UBS · United States OpenNash lists jobs from employers’ own careers sites and does not handle applications. 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