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

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

Job summary

Morgan Stanley Equity Research in New York is seeking talented, self-motivated candidates at VP level for quantamental research, applying AI/ML to generate alpha and support equity calls across global stocks.

The role combines quantitative modeling with fundamental insights, backtesting and deploying models, and collaborating with sales and research teams to present findings to clients. Strong programming in Python and Q/kdb is essential, with UNIX/Linux experience required.

Qualifications

• Advanced degree in quantitative field; PhD preferred.
• Strong programming skills in Python and Q/kdb; 1-5 years development in UNIX/Linux.
• Experience with statistics learning methods and large datasets; knowledge of Deep Learning/LLMs a plus.

Responsibilities

• Combine quantitative processes with fundamental insights to forecast 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 with sales, providing quant proof statements to clients.
• Build tools to query, clean, analyze raw data through databases, and work with technology to standardize data hosting.

Skills

Python

Q/kdb

UNIX/Linux

Statistics

Deep Learning/LLMs

Communication

Team collaboration

Education

Advanced degree in quantitative field

PhD preferred

Job description

Morgan Stanley Equity Research

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

• 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 90years. 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

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. At Morgan Stanley, we advise, originate, trade, manage and distribute capital for people, governments and institutions, always with a standard of excellence and guided by our core values.

Morgan Stanley is dedicated to providing first‑class service to our clients, in a way that reflects our commitment to creating a more sustainable future and fostering stronger communities around the world. In each line of business, we strive to demonstrate our belief in the power of transformative thinking, innovative strategies and leading‑edge solutions—and in the ability of capital to work for the benefit of all society. What We Do