Senior Associate -Applied AI Data Scientist
Company: JPMorganChase
Location: Jersey City
Posted on: April 1, 2026
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Job Description:
Description About the role JPMorgan Chase’s Asset & Wealth
Management Finance organization is building the next generation of
agentic AI solutions that act as “digital workers” for forecasting,
analytics, and decision support. As a Senior Data Science
Associate, you will design, deploy, and scale large language model
(LLM) agents that turn complex finance questions into trusted,
actionable insights. Job responsibilities Build production LLM
agents for finance workflows using techniques such as
retrieval?augmented generation (RAG), tool use, and multi?step
reasoning. Develop robust data and inference pipelines in Python
and SQL; integrate agents with APIs, microservices, and BI
applications. Implement evaluation frameworks and guardrails:
offline and online tests, automatic metrics (factuality, grounding,
hallucination rate), human?in?the?loop reviews, red?team testing,
and observability. Optimize for scale, latency, and cost across
cloud environments; leverage vector databases and embeddings for
efficient retrieval. Partner with Finance, Product, and Engineering
to identify high?value use cases; translate ambiguous problems into
measurable outcomes. Apply solid ML engineering and MLOps practices
(versioning, CI/CD, model registry, monitoring, incident response).
Document systems, deliver enablement materials, and upskill
partners; contribute to standards for privacy, security, and model
risk governance. Required qualifications, capabilities and skills 6
years in data/ML roles, including 3 years building and operating
production ML applications; hands?on experience with LLMs. Strong
Python and SQL. Practical knowledge of RAG, prompt engineering,
fine?tuning, function/tool calling, and vector stores. Experience
with cloud platforms (e.g., AWS, Azure, or GCP) and modern data
stacks (e.g., Databricks or Snowflake). Familiarity with LLM
frameworks and orchestration (e.g., LangChain or LlamaIndex) and
REST/GraphQL API design. Proficiency in analytics and applied
statistics; ability to design experiments and evaluate business
impact. Excellent communication and stakeholder management; comfort
working across Finance, Technology, and Operations. Preferred
qualifications, capabilities and skills Experience building
multi?agent systems, autonomous workflows, or task planners.
Eexperience with PySpark or distributed compute. Knowledge of model
safety, bias, and privacy techniques; experience with model risk
management and governance. Exposure to observability tools
(logging, tracing, telemetry) and A/B testing. Background
integrating agents with BI/reporting and workflow tools;
familiarity with Tableau or similar is a plus. Experience with
GPUs/accelerators, containerization, and infrastructure?as?code.
What success looks like 90 days: deliver a pilot finance agent with
RAG and evaluation metrics, integrated with key data sources and
APIs. 6 months: scale agents across multiple workflows, establish
guardrails and monitoring, and demonstrate clear improvements in
cycle time, accuracy, or user satisfaction.
Keywords: JPMorganChase, New Britain , Senior Associate -Applied AI Data Scientist, Accounting, Auditing , Jersey City, Connecticut
