Associate - 7025682 Jobs

Job Duties: Associate with Goldman Sachs & Co. LLC in New York, New York. Provide engineering and quantitative support across the investment management lifecycle. Contribute to the design, development, and maintenance of high-performance investment management platforms such as scalable portfolio construction and automated trade execution frameworks. Assist in the building of portfolio optimization frameworks that consider portfolio specific constraints, exposure, and risk objectives. Participate in the development of efficient quantitative research and portfolio management tools to be leveraged across different investment teams. Contribute to the development and use of quantitative models to simulate and evaluate portfolio solutions, risk-management strategies, and new investment ideas. Conduct research in quantitative investment models and portfolio construction techniques. Assist in the development of rigorous and scalable data management and analysis tools to provide risk oversight and support the data-intensive quantitative investment process. Help to transform mathematical concepts, models and analytics into production-quality software leveraging object oriented or functional programming languages.
Job Requirements: Master’s degree (U.S. or foreign equivalent) in Applied Mathematics, Statistics, Quantitative/Computational Finance, Computer Science and Engineering, Industrial Engineering, or a related field and one (1) year of experience in the job offered or in a related role OR Bachelor’s degree (U.S. or foreign equivalent) in Applied Mathematics, Statistics, Quantitative/Computational Finance, Computer Science and Engineering, Industrial Engineering, or a related field and three (3) years of experience in the job offered or in a related role. Prior experience must include one (1) year of experience with a Master’s degree or three (3) years of experience with a Bachelor’s degree with: utilizing algorithmic methods and design patterns, including: Python, Matlab, C++, R, or Java; web development frameworks including Angular or React; Javascript or Typescript; and versioning frameworks including CVS or GIT; developing quantitative risk analytics, including factor models; applying machine learning approaches and techniques across a variety of languages and methods; developing scalable portfolio construction frameworks; and developing rigorous and scalable data management and analysis tools to provide risk oversight and support the investment process.
Salary Range: The expected annual base salary for this New York, New York, United States-based position is $159,000 to $180,000. In addition, you may be eligible for a discretionary bonus if you are an active employee as of fiscal year-end.
Benefits: Goldman Sachs is committed to providing our people with valuable and competitive benefits and wellness offerings, as it is a core part of providing a strong overall employee experience. A summary of these offerings, which are generally available to active, non-temporary, full-time and part-time US employees who work at least 20 hours per week, can be found here: https://www.goldmansachs.com/careers/discover/benefits-summary-US.pdf
©The Goldman Sachs Group, Inc., 2023. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity.