This role pays more than
64%
of similar roles. Most pay
$162,900–$247,937
— the shaded band above.
At the midpoint, this role pays about
$225k
versus about
$205k
for comparable roles.
Based on 239 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
134 open roles
on FindRole.
Listed pay typically runs
$137,000–$250,000
across 55 roles with salary data.
As a GBM Public - Systematic Macro Quant Researcher, you will join the FICC Quantitative Research team to transform the Fixed Income, Currencies, and Commodities business through quantitative trading and automated decision-making. You will take a leading role on the Quantitative Trading and Market Making desk, building market making and quoting strategies across various product types including Interest Rates, Foreign Exchange, Credit, and Commodities. Your daily work involves using advanced statistical analysis, neural networks, machine learning, and factor models to drive systematic alpha strategies for real-time trading and risk management. You will develop model calibration frameworks for large quantities of time series data while collaborating with engineers to enhance analytics infrastructure. Required skills include proficiency in C++, Java, or Python, along with a strong academic background in physics, mathematics, statistics, engineering, or computer science.
Python
C++
Java
Stochastic Calculus
Machine Learning
Time Series Analysis
Linear Regression
Bayesian Analysis
Quantitative Analysis
Financial Mathematics
Data Management
Statistical Analysis
Numerical Methods
Optimization