Quantitative Strategist Associate: AI & Forecasting

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

Job summary

Goldman Sachs in New York seeks an Associate Quantitative Strategist to design, develop, and deploy quantitative models for budgeting and forecasting revenues, expenses, and balance sheet dynamics. The role emphasizes building AI agents to automate analysis and reporting across the planning lifecycle, using Python primarily and Rust for performance-critical tasks.

This position targets recent PhD graduates and candidates with strong mathematical, statistical, and computational skills, with

Qualifications

• PhD graduates preferred; Masters and Bachelors considered.
• Strong academic record and evidence of exceptional ability.
• Open source contributions/publications valued.

Responsibilities

• Design and implement advanced quantitative models for revenue, expense, and balance sheet forecasting.
• Develop AI agents to automate analysis, reporting, and decision support across planning lifecycle.
• Collaborate with Finance, Risk, and other corporate teams to deliver dashboards and reports for leadership.

Skills

Python

Time-series

Econometrics

Causal Inference

Education

PhD

Masters

Bachelors

Tools

Cloud deployment

Rust/C++

Job description

Goldman Sachs in New York seeks an Associate Quantitative Strategist to design, develop, and deploy quantitative models for budgeting and forecasting revenues, expenses, and balance sheet dynamics. The role emphasizes building AI agents to automate analysis and reporting across the planning lifecycle, using Python primarily and Rust for performance-critical tasks.

This position targets recent PhD graduates and candidates with strong mathematical, statistical, and computational skills, with