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

Morgan Stanley•New York, NY

37d•Onsite

About The Position

Morgan Stanley Equity Research is a leading financial industry authority in equity investing, serving as a crucial link between the Firm's various business divisions. Our analysts, economists, and strategists have established this reputation through timely and in-depth analysis of companies, industries, markets, and global economies. Our highly regarded equity analysts cover over 2,300 stocks globally, organized by country, region, and global industry. They develop key investment ideas and themes utilized by buy-side firms for portfolio structuring and by the Morgan Stanley sales force for client interactions. They also provide valuable insights on market-moving events to the firm's traders and their clients. A career in equity research at Morgan Stanley requires a commitment to excellence, a passion for the markets, and the highest level of integrity. The AlphaWise Quant team within Equity Research is seeking talented, self-motivated, and hard-working candidates in New York, at the VP level, to conduct quantamental research and leverage AI & ML to generate alpha by collaborating with our first-class equity analyst teams.

Requirements

Advanced degree in a 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 statistical learning methods.
Proficiency working with large datasets.
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 a plus.

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 the technology team to design a standardized framework to streamline the process for hosting data from various types and sources.