Quantitative Strategy Associate, Core Planning & Analytics

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

Job summary

Goldman Sachs is seeking an Associate Quantitative Strategist in New York to design and implement advanced quantitative models for planning and forecasting, and to develop AI agents for automated analysis and reporting. You will deploy scalable solutions in the Cloud, primarily in Python, with opportunities to explore Rust for performance-critical computing.

This role targets recent PhD graduates and seasoned candidates, offering collaboration with Finance, Risk, and core corporate departments

Qualifications

• PhD in a quantitative field with strong research background.
• Experience with econometrics and time-series forecasting.
• Proficiency in Python; interest in Rust/C++ for performance.
• Strong communication and cross-functional collaboration.

Responsibilities

• Design, develop, implement, and document advanced quantitative models for time-series forecasting of revenues, expenses, and balance sheet items.
• Develop and deploy ML models for event prediction and forecasting to support strategy and governance reviews.
• Collaborate with Finance, Risk, and other teams to deliver metrics, dashboards, and reports for senior leadership.
• Lead end-to-end model development lifecycle: data collection, EDA, feature engineering, validation, and cloud deployment.
• Engineer AI agentic systems for interactive and batch reporting with orchestration and tool integration.
• Conduct simulation studies, provide theoretical justifications, and support Model Risk Management reviews.

Skills

Python

Rust/C++

Cloud computing

Time-series

Econometrics

Explainable ML

AI Agent Development

Model Risk Management

SQL

Education

PhD in Statistics/Applied Math/CS/Physics

Masters or Bachelors with strong research

Tools

LangGraph

Google ADK

AWS Bedrock AgentCore

Job description

Goldman Sachs is seeking an Associate Quantitative Strategist in New York to design and implement advanced quantitative models for planning and forecasting, and to develop AI agents for automated analysis and reporting. You will deploy scalable solutions in the Cloud, primarily in Python, with opportunities to explore Rust for performance-critical computing.

This role targets recent PhD graduates and seasoned candidates, offering collaboration with Finance, Risk, and core corporate departments