Public Finance Quant Dev & AI Strategist

Morgan-Stanley; Town of Islip (NY); On-site; USD 150,000 - 200,000; Full time

Job summary

Morgan Stanley in New York is seeking a highly skilled quantitative software engineer to design and deliver production-ready analytics and AI-powered tools. You will build models, deploy dashboards, and automate workflows that traders rely on daily.

You will apply strong Python skills, work with Flask, React, and modern AI tooling, and collaborate with traders and strategists in a regulated financial environment to push innovations forward.

Qualifications

• Master's or PhD in a quantitative field; or strong undergrad with hands-on experience.
• Strong Python and production-ready coding skills.
• Experience with AI tools and data-driven decision making.
• Ability to explain complex ideas to traders and non-technical audiences.

Responsibilities

• Build models to quantify where risk accumulates for desks.
• Ship a React dashboard to present model outputs in real time.
• Automate workflows to reduce tasks from hours to seconds.
• Integrate AI agents to read documents and extract terms.
• Challenge business assumptions with data and rigorous testing.

Skills

Strong quantitative background

Excellent communication

AI/GenAI interest

Problem-solving mindset

Education

Master's or PhD in a quantitative field

Strong undergraduate with hands-on experience

Tools

Python

Flask

React

kdb+/q

Docker

OpenAI

Anthropic Claude

Git

CI/CD tooling

Job description

Morgan Stanley in New York is seeking a highly skilled quantitative software engineer to design and deliver production-ready analytics and AI-powered tools. You will build models, deploy dashboards, and automate workflows that traders rely on daily.

You will apply strong Python skills, work with Flask, React, and modern AI tooling, and collaborate with traders and strategists in a regulated financial environment to push innovations forward.