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    Research Associate

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      Research Associate

      New York, NY




      A global investment firm is seeking to appoint a Research Associate to join its New York office as part of the Global Stock Selection (GSS) team.

      The Global Stock Selection (GSS) group is responsible for the portfolio management and research of the firm’s strategies relating to individual equities and equity related securities across all global liquid markets. GSS models are applied to market-neutral long/short portfolio in company hedge funds as well as to long-only, relaxed-constraint and low volatility portfolios for institutional equity mandates and mutual funds.

      Candidates should be motivated and enthusiastic about implementing new ideas and are expected to be hands-on and self-sufficient in conducting all aspects of research projects. The role will involve collaboration with other researchers, portfolio managers, risk managers and traders to develop new and improve current investment strategies. Your responsibilities may include, but are not limited to:


      Key Responsibilities

      • Engage in research and other quantitative analysis to improve current investment strategies in collaboration with existing research team
      • Perform statistical and economic research using financial or alternative data to develop new return predictive signals
      • Conduct research on various aspects of the implementation of investment strategies such as trading cost models, risk models, optimization, and portfolio construction
      • Add features to proprietary research system to implement new research ideas


      Skills, Knowledge & Experience

      • B.S. degree from a top institution in economics, finance, computer science, engineering, mathematics, statistics, or another quantitative discipline. PhD preferred – if so, must be complete by summer of 2024
      • 2-5 years’ experience working in a similar quantitative or technical environment. Experience in quantitative research at an asset manager or hedge fund preferred
      • Experience using programming skills to manipulate large financial data sets for empirical research. Strong skills in one or more high-level languages required, with Python preferred
      • Strong quantitative skills with demonstrated understanding of mathematics, probability, statistics and linear algebra
      • Strong understanding of economic and financial concepts and demonstrated intuition around applying these concepts in a quantitative environment
      • Demonstrated ability to express and articulate ideas and thought processes in both verbal and written form
      • Ability to work independently as well as part of a team
      • Mature and thoughtful, with the ability to operate within a collaborative, team-oriented culture
      • Committed to intellectual integrity, with a high degree of ethics
      • Hard working and eager to learn in a highly intellectual, innovative environment
      • Well- organized, detail- oriented, with strong communication skills; able to multi-task and keep track of various deadlines

      Posted by

      Manuel Fedriani

      Quantitative Finance Recruiter

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