This role pays less than
56%
of similar roles. Most pay
$128,397–$188,000
— the shaded band above.
At the midpoint, this role pays about
$148k
versus about
$158k
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
187 open roles
on FindRole.
Listed pay typically runs
$130,000–$250,000
across 60 roles with salary data.
As an Associate Quantitative Strategist in the Core Planning and Analysis Strats team, you will design and develop quantitative models to forecast revenues, expenses, and balance sheet dynamics for budget planning. You will also build AI agents to automate analysis and decision support across various departments. Day-to-day tasks include implementing econometric models, deploying machine learning algorithms, and creating interactive dashboards using Python and Rust in a cloud environment. The role requires expertise in econometrics, time-series analysis, simulation techniques, and production-grade cloud deployment. Ideal candidates have a PhD or strong master’s degree in statistics, computer science, applied mathematics, physics, or related fields, with experience in explainable machine learning, causal inference, and AI agent development using frameworks like LangGraph and AWS Bedrock AgentCore.
Python
AWS
Scala
C++
Monte Carlo simulation
SQL
Linux
Git
CI/CD
Portfolio optimization
Equity strategy design
Factor modeling
Options & derivatives pricing
Direct indexing
Loss harvesting
Structured products
Risk management