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

About the role

Morgan Stanley Equity Research is one of the financial industry's dominant thought leaders in equity investing and is 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--who cover over 2,300 stocks globally and are organized by country, region, and global industry--develop key investment ideas and themes that are used by buy-side firms to structure portfolios as well as by the Morgan Stanley sales force in its interaction with investing clients; and provide valuable insights on market-moving events to the firm's traders and their clients. A career in equity research at Morgan Stanley demands a commitment to excellence and a passion for the markets as well as the highest level of integrity. 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.

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.

Qualifications

• Advanced degree in quantitative field such as statistics, data science, computer science, financial engineering, PhD preferred.

Skills

• 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.

Benefits

At Morgan Stanley, we raise, manage and allocate capital for our clients – helping them reach their goals. We do it in a way that’s differentiated – and we’ve done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the