Quantitative Strategist - AWM (Associate)

Goldman Sachs; New York (NY); On-site; USD 115,000 - 180,000; Full time

Job summary

Goldman Sachs is seeking an Asset & Wealth Management Quantitative Strategist—Associate in New York, to build quantitative models that address risk, fraud, and investment goals. You will collaborate with risk management and strategy teams, deploying ML models and data-driven analytics across multiple asset classes.

The role requires strong programming and math skills, experience with Python/Spark, and a collaborative, self-driven attitude in a fast-paced environment.

Qualifications

• Quantitative or engineering degree (e.g., mathematics, physics, quantitative finance, CS).
• 1–3 years in quantitative modeling or software development roles.
• Programming and mathematical skills required; machine learning knowledge a plus.

Responsibilities

• Develop and deploy ML models for fraud and anomaly detection and improve workflows.
• Deliver risk metrics and analytics for financial and non-financial risks in wealth management.
• Build AI-led solutions to improve risk management efficiency and accuracy.

Skills

Mathematics

Programming

ML techniques

Communication

Independent work

Education

Bachelor/Master/PhD in quantitative field

Tools

Python

Spark

SQL

Pandas

NumPy

Scikit-learn

Job description

Goldman Sachs is seeking an Asset & Wealth Management Quantitative Strategist—Associate in New York, to build quantitative models that address risk, fraud, and investment goals. You will collaborate with risk management and strategy teams, deploying ML models and data-driven analytics across multiple asset classes.

The role requires strong programming and math skills, experience with Python/Spark, and a collaborative, self-driven attitude in a fast-paced environment.