Quant Equity Research Associate - AI-Driven Insights

711 MS Smith Barney, LLC; New York (NY); On-site; USD 120,000 - 250,000; Full time

Job summary

Morgan Stanley Equity Research is seeking a quantitative-focused analyst/developer to forecast KPI, build evidence-based stock calls, and test models across large datasets. You will backtest, implement quant signals, and present findings.

The role requires strong Python and Q/kdb programming in a UNIX/Linux environment, with 1–5 years experience and a PhD or advanced degree in a quantitative field preferred. GenAI/LLMs experience is a plus and collaboration with multiple teams is essential.

Qualifications

• Advanced degree in quantitative field (statistics, data science, computer science, financial engineering, PhD preferred).
• Strong programming skills in Python, Q/kdb, UNIX/Linux; familiarity with large datasets.
• Deep Learning/LLMs experience a plus; ability to present quant solutions clearly to clients and internal teams.
• 1–5 years of development in UNIX/Linux environment.

Responsibilities

• Combine quantitative processes with fundamental insights to forecast KPI and build stock calls.
• Develop, backtest, and implement quant models; explore data sources and signals.
• Publish leading research notes and present at industry conferences; communicate with sales and clients.
• Collaborate with research and technology teams to build data querying and analysis tooling.

Skills

Quantitative analysis

Python

UNIX/Linux

Data science

Communication

Team collaboration

GenAI/LLMs

Education

Advanced degree in quantitative field (stats/data science/CS/financial engineering/PhD preferred)

Tools

Q/kdb

GenAI/LLMs tooling

Job description

Morgan Stanley Equity Research is seeking a quantitative-focused analyst/developer to forecast KPI, build evidence-based stock calls, and test models across large datasets. You will backtest, implement quant signals, and present findings.

The role requires strong Python and Q/kdb programming in a UNIX/Linux environment, with 1–5 years experience and a PhD or advanced degree in a quantitative field preferred. GenAI/LLMs experience is a plus and collaboration with multiple teams is essential.