Research - Associate/VP, AlphaWise Quant Researcher (New York)

Morgan Stanley•New York, NY

38d•$120,000 - $250,000•Onsite

About The Position

The AlphaWise Quant team in Equity Research is seeking talented, self-motivated, and hard-working candidates in New York, at VP level, to conduct quantamental research and use AI & ML generating alpha by working with our first-class equity analyst teams. Morgan Stanley Equity Research is a dominant thought leader in equity investing, serving as a vital link between the Firm's varied business divisions. Our analysts, economists, and strategists have earned this reputation through timely, in-depth analysis of companies, industries, markets, and the world's economies. Our highly regarded equity analysts cover over 2,300 stocks globally and develop key investment ideas and themes used by buy-side firms and the Morgan Stanley sales force. A career in equity research demands a commitment to excellence, a passion for the markets, and the highest level of integrity.

Requirements

Advanced degree in quantitative field such as statistics, data science, computer science, financial engineering, PhD preferred.
Strong programming skills in Python, Q/kdb, 1-5 years’ development in UNIX/Linux environment.
Deep understanding of statistics learning methods, proficiency working with large dataset, Deep Learning/LLMs experience a plus.
Strong verbal and written communication skills; able to present quant solutions clearly to both internal and external clients.
Creative thinking and problem-solving skills; able to independently tackle research problems that have commercial impact
Team oriented; able to collaborate with a range of functional teams and resolve conflicts as necessary.

Nice To Haves

Deep Learning/LLMs experience

Responsibilities

Combine quantitative processes with fundamental insights to forecast company key performance indicator (KPI), develop sector-specific signals, and build conviction on stock calls.
Develop, backtest, and implement quant models to test the efficacy of various alternative data.
Explore cutting edge tools such as genAI/LLMs to gain insights into new alpha.
Publish leading research insight notes and present at industry conferences.
Actively source new ideas and collaborate with other research teams; Partner closely with sales, providing quant proof statements to both internal and external clients.
Build tools to query, clean, analyze raw data through databases, and work closely with technology team to design standardized framework to streamline the process for hosting data from various type and sources.