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

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 trade‑offs 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) Benefits We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Eligible roles may receive commission‑based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. Additional benefits include comprehensive health care coverage, on‑site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. 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. Visit our FAQs for more information about requesting an accommodation. JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans. #J-18808-Ljbffr JPMorganChase