AlphaWise Equity Research Sector Quant / Strat

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  • Post Date : September 16, 2020
  • Apply Before : October 16, 2020
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Job Description

AlphaWise Equity Research Sector Quant / Strat

Job Number:


POSTING DATE: Sep 3, 2020
PRIMARY LOCATION: Americas-United States of America-New York-New York
JOB: Quantitative Strategies
JOB LEVEL: Vice President


Morgan Stanley Investment Research is uniquely committed to being an essential part of our clients’ investment process. We strive to be the sell-side research provider that best understands the buy side. Through relevant and timely conversations with leading investors, we focus resources on risk-reward essentials: identifying the investor debates, assessing the potential outcomes, and uncovering the evidence our clients need to validate their investment decisions. Our equity analysts cover some 3,000 stocks; our economists, strategists and fixed income analysts cover all major regions and other asset classes around the globe.

The Alphawise Sector Quant Team in Equity Research is seeking a talented, self-motivated, and hard-working candidate in New York to conduct innovative quantamental research by working with our first-class equity analyst teams. Prime responsibilities include:

  • Combine quantitative processes with fundamental insights to identify industry key performance indicator, develop sector-specific signals, build conviction on a call, predict stock returns, and track company specific risks etc.
  • Develop, backtest, and implement statistics/machine learning models to test the efficacy of sector data; Explore, gather and evaluate alternative data to gain insights into new alpha
  • Help build out and expand our data and quant framework. Develop tools to load, process, clean, query, analyze data, and work closely with technology team to ensure data quality and manage data process
  • Publish leading research insight notes and present at industry conferences
  • Actively source new ideas and collaborate with other research teams; Partner closely with sales/marketing, providing quant proof statements to both internal and external clients


  • Advanced degree in quantitative field such as statistics, computer science, engineering, mathematics or finance, PhD preferred
  • 1-5 years’ experience in statistics/econometrics modeling, proficiency working with large dataset, machine learning, data mining, and numerical methods
  • Strong programming skills including Q/kdb, Python, C/C++, R, and scripting languages
  • Experience working with database, web-scraping or dealing with alternative data a major plus
  • Strong creative thinking and problem-solving skills; able to decompose complex problems into manageable pieces
  • Strong verbal and written communication skills; able to present quant solutions clearly to both internal and external clients
  • Team oriented; able to collaborate with a range of functional teams and resolve conflicts as necessary
  • Knowledge/experience in equity factor model and fundamental research a plus

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