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

Morgan Stanley; New York (NY); On-site; USD 140,000 - 250,000; Full time

Job summary

Morgan Stanley Equity Research in New York seeks a VP-level quant researcher to drive quantamental stock ideas. You will combine quantitative methods with fundamental insights, build and test models, and work with equity analysts to generate alpha.

You will explore genAI/LLMs, publish research notes, and present findings at industry events, collaborating with sales and technology teams to deliver impact.

Qualifications

• Advanced degree in quantitative field such as statistics, data science, computer science, financial engineering, PhD preferred.
• Strong programming skills in Python and Q/kdb; 1-5 years’ development experience in UNIX/Linux.
• Deep learning/LLMs experience a plus; proficient with large datasets.
• Ability to publish research notes and present to clients and internal audiences.
• Strong communication and teamwork skills.

Responsibilities

• Combine quantitative processes with fundamental insights to forecast KPI, develop sector signals, and build conviction on stock calls.
• Develop, backtest, and implement quant models to test the efficacy of various data sources.
• Explore cutting edge tools such as genAI/LLMs to gain insights into new alpha.
• Publish leading research insight notes and present at industry conferences.
• Source new ideas and collaborate with other research teams; support sales with quantitative proof statements.
• Build tools to query, clean, and analyze large data sets; coordinate with technology to standardize data hosting.
• Contribute to a high-performing team in a fast-paced equity research environment.

Skills

Python

Q/kdb

UNIX/Linux

Deep Learning/LLMs

Statistics

Data science

Financial engineering

Education

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

Tools

KDB+/Q

Python

Job description

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.

Primary Responsibilities Include

• 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.
• 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.

What You Can Expect From Morgan Stanley

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 best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work.

To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.

Expected base pay rates for the role will be between $120,000 and $200,000 per year for Associate, and between $140,000 and $250,000 per year for VP, at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.

Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.

Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.

For more information, please visit: https://www.morganstanley.com/people-opportunities/eeo.