VP, Quant Trading & Research — AI-Driven Client Signals

J.P. Morgan Chase & Co.; New York (NY); On-site; USD 250,000 - 450,000; Full time

Job summary

JP Morgan Chase is seeking a Vice President to lead the development of quantitative models, algorithms and analytics for Cash Equities Sales engagement. You will transform client flow and trade data into signals, targeting and ideas, while guiding the research lifecycle from data prep to production and monitoring, mentoring juniors and ensuring governance.

You will use statistical methods, ML, LLMs and AI agents to create practical decision support for senior stakeholders across Sales, Trading,

Qualifications

• 5+ years of quantitative research/data science experience, preferably in Equities.
• Expert Python and SQL skills with production-grade software delivery.
• Strong foundations in probability, statistics and numerical methods.
• Experience with Cash Equities data including client flow and executions.
• Experience applying ML/LLMs in production and agentic workflows.

Responsibilities

• Define and lead a research roadmap for Cash Equities Sales analytics in partnership with leadership.
• Research, develop, validate models and algorithms for data processing and client targeting.
• Build reproducible datasets and methods for structured and unstructured data including flows, IOIs and blocks.
• Analyze client trading behavior to identify target clients and ideas.
• Develop recommendation engines ranking clients for Sales coverage.
• Architect reusable analytical capabilities and guardrails for AI-assisted workflows.
• Lead design, build and evaluation of agentic workflows that orchestrate tools and data services.
• Develop data-derived client content with clear source attribution for outreach.
• Define evaluation frameworks and experiments to improve analytic quality and business impact.
• Own production-quality analytical code and set engineering standards.

Skills

Python

SQL

Probability/Statistics

Machine Learning

LLMs

Experimentation

Education

PhD or Masters in Mathematics/Statistics/CS/Physics/Engineering/Quantitative Finance

Tools

Git

Job description

JP Morgan Chase is seeking a Vice President to lead the development of quantitative models, algorithms and analytics for Cash Equities Sales engagement. You will transform client flow and trade data into signals, targeting and ideas, while guiding the research lifecycle from data prep to production and monitoring, mentoring juniors and ensuring governance.

You will use statistical methods, ML, LLMs and AI agents to create practical decision support for senior stakeholders across Sales, Trading,