AlphaWise Quant Researcher
POSTING DATE: Aug 12, 2024
PRIMARY LOCATION: Americas-United States of America-New York-New York
JOB: Quantitative Strategies
EMPLOYMENT TYPE: Full Time
JOB LEVEL: Vice President
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.
Expected base pay rates for the role will be between $185,000 and $225,000 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's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees. It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law. Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet).
