About The Position

The Associate role is within Goldman Sachs Asset Management’s Quantitative Investment Strategies (QIS) Liquid Alternatives team. It focuses on hedge fund and private asset return tracker strategies, contributing to research, innovation, and the future growth of the franchise. The role involves systematically replicating the return drivers of private and alternative assets in liquid, investable form. The candidate will work alongside junior and senior professionals and gain exposure to experienced portfolio managers and researchers while applying advanced financial and econometric methods.

Requirements

  • Bachelor's, Master's, or PhD in Financial Engineering, Statistics, Mathematics, Physics, Computer Science, or a related quantitative discipline.
  • 0–3 years of relevant experience, including internships.
  • Strong foundation in statistics, linear algebra, and calculus.
  • Strong programming skills in Python, Matlab, R, C++, or other languages.
  • Excellent analytical and quantitative skills, with keen attention to detail.
  • Ability to work effectively in a collaborative, fast-paced, team-oriented environment.

Nice To Haves

  • Exposure to machine learning techniques applied to financial or time-series data.
  • Familiarity with systematic investing, factor models, or alternative asset classes.
  • Experience building or maintaining research infrastructure, including version control, testing, and data pipelines.
  • Intellectual curiosity and a demonstrated ability to approach problems creatively.

Responsibilities

  • Conduct quantitative research on hedge fund and private asset return data to identify replicable return drivers.
  • Help develop cross-asset systematic trading strategies that fit within the broader factor tracking portfolio.
  • Work with large structured and unstructured datasets to extract insights that inform systematic investment strategies.
  • Contribute to the development, enhancement, and maintenance of the research and portfolio management platform, including strategy backtesting, performance monitoring, and risk analysis.

Benefits

  • Competitive benefits and wellness offerings, including training and development opportunities, firmwide networks, and personal finance offerings and mindfulness programs.
  • May be eligible for a discretionary bonus if an active employee as of fiscal year-end.
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