Hiring: Quantitative Trading & Research - Applied Researcher - Agentic AI Systems - Associate Company: JPMorganChase Location: New York, NY Job Posted Time: 2026-09-10 15:00:47 Employment Type: On-site Target Skills & Keywords : Derivatives, Fine-tuning, LLM, Machine Learning, Python, RAG, User Experience About the job Experience: •200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. •Over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. Required Skills: •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. •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 Qualifications: •Advanced degree in Computer Science, Data Science, Machine Learning, or related field. Compensation: •$150,000 - $200,000 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!