Quantitative Strategy Analyst – Budget Forecasting & AI Agents

Goldman Sachs; New York (NY); On-site; USD 110,000 - 130,000; Full time

Benefits offered by this job

Competitive Benefits

Job summary

Goldman Sachs in New York seeks an Sr. Analyst Quantitative Strategist to design and deploy advanced quantitative models for budget planning and management. The role focuses on forecasting revenues, expenses, and balance sheet dynamics with scalable AWS solutions and AI agentic capabilities.

This Analyst level position targets recent graduates skilled in mathematics, statistics, and computational techniques for corporate planning and financial forecasting challenges.

Qualifications

• PhD graduates with strong academic research backgrounds are highly preferred.
• For non-PhD candidates, evidence of exceptional skill via open source contributions or publications is valued.

Responsibilities

• Design, develop, implement, and document advanced quantitative models for time-series forecasting of revenues, expenses, and balance sheet items.
• Develop and deploy explainable ML models for financial event prediction, revenue forecasting, and expense projection.
• Collaborate with cross-functional stakeholders across Finance, Risk, and other Core corporate departments.
• Execute end-to-end model development lifecycle and scalable deployment on AWS Cloud.
• Design AI agentic systems to deliver analytical, data science, and reporting capabilities.
• Conduct simulation studies, document model performance testing, and support Model Risk Management reviews.
• Develop scenarios for budget planning and management using a broad range of economic and financial variables.

Education

PhD degree in Statistics, Computer Science, Applied Mathematics or related quantitative field

Master’s degree in Statistics, Computer Science, Applied Mathematics, Physics or related quantitative field

Bachelor’s degree in Statistics, Computer Science, Applied Mathematics, Physics or related quantitative field

Job description

Goldman Sachs in New York seeks an Sr. Analyst Quantitative Strategist to design and deploy advanced quantitative models for budget planning and management. The role focuses on forecasting revenues, expenses, and balance sheet dynamics with scalable AWS solutions and AI agentic capabilities.

This Analyst level position targets recent graduates skilled in mathematics, statistics, and computational techniques for corporate planning and financial forecasting challenges.