Quant Modeling Lead, Agentic AI & Multi-Agent Systems VP

JPMorganChase

Jersey City (NJ)

On-site

USD 180,000 - 260,000

Full time

2 days ago

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Benefits offered by this job

Health insurance

Retirement plan

Job summary

JPMorganChase in Jersey City is seeking a Quant Modeling Lead in the Controls Room Team to design and build agentic AI systems for improved control monitoring, analytics, and decision support across the firm.

The role focuses on multi-agent orchestration, agent reasoning patterns, and collaboration with technology partners to deploy scalable, production-grade solutions that empower risk management and operational efficiency.

Qualifications

Master's/Ph.D. in Computer Science, Artificial Intelligence or related technical
7+ years of AI/ML experience with 5+ years in multi-agent systems
Experience with agentic AI frameworks and LLMs for reasoning

Responsibilities

Serve as SME on agentic AI, multi-agent architectures and autonomous system design
Design and implement dynamic multi-agent orchestration frameworks
Research and productionize agentic solutions using MARL and autonomous decision-making
Develop agent coordination mechanisms: communication, task allocation and consensus
Build production-grade multi-agent systems integrated with control platforms
Collaborate with Tech partners to architect agentic AI services and deploy in enterprise environments
Lead development of autonomous agents capable of complex reasoning and self-improvement
Research data to formulate high-impact business questions via agentic approaches
Stay at the forefront of agentic AI and multi-agent research and best practices