This role pays more than
60%
of similar roles. Most pay
$145,200–$219,737
— the shaded band above.
At the midpoint, this role pays about
$188k
versus about
$182k
for comparable roles.
Based on 240 similar postings.
Employer
About Goldman Sachs
Goldman Sachs is a leading global investment banking, securities, and investment management firm providing financial services to corporations, financial institutions, governments, and individuals.
Goldman Sachs currently has
68 open roles
on FindRole.
Listed pay typically runs
$150,000–$250,000
across 33 roles with salary data.
As a Quantitative Strategist, Global Banking & Markets, Client Analytics, you will join the Prime Brokerage business to drive major decisions through insightful analytics and data-driven recommendations. You will build scalable platforms, models, and systems to democratize data while performing complex ad-hoc analysis for management and clients. Your daily work involves tracking market and hedge fund trends, conducting deep-dive portfolio analyses, and researching equity and FICC factor or macroeconomic models. To succeed, you must possess strong programming skills in Java or Python, experience with AI tools, and knowledge of machine learning, probability, and big data sets. You will serve as a Subject Matter Expert during client-facing discussions to communicate complex quantitative strategies clearly. The role focuses on solving technical problems related to portfolio construction, risk models, and identifying new opportunities within the prime brokerage domain.