Associate Quantitative Strat — Budget, Risk & Scenarios

Goldman Sachs; Paris; On-site; EUR 110,000 - 160,000; Full time

Benefits offered by this job

Medical and dental insurance

Disability and life insurance

Retirement and financial planning

On-site health centers

Job summary

Goldman Sachs seeks an Associate Quantitative Strategist to design and deploy advanced econometric models and macroeconomic scenarios for budget planning and risk management. You will build scalable solutions on AWS and contribute to AI-enabled analysis, working with Finance, Risk, and corporate functions to deliver decision-ready insights.

The role targets PhD or Masters graduates with strong quantitative research, forecasting and machine-learning capabilities, and a track record of rigorous

Qualifications

• PhD or Master's with quantitative focus and relevant experience or entry with Bachelor’s plus years as described.

Responsibilities

• Research, design, build and implement quantitative models and macroeconomic scenarios for budget planning, risk management and regulatory stress testing.
• Develop statistical, econometric, time-series and explainable machine-learning models to forecast revenues, expenses and balance sheet items.
• Manage end-to-end model development lifecycle including data prep, validation, testing and deployment.
• Build scalable analytical tools and production-grade AWS infrastructure for scenario development and reporting.
• Collaborate with Finance, Risk and business units to translate requirements into quantitative methods and decision-ready analysis.
• Prepare auditable materials supporting governance, Model Risk Management and regulatory remediation.

Skills

Rust

Python

C++

Econometrics

Financial modeling

Time-series

Machine learning

AWS

SQL

Education

PhD in Statistics / Economics / Econometrics / CS / Applied Math / Financial Engineering

Master's in a quantitative field + 1 year experience

Bachelor's in a quantitative field + 3 years experience

Tools

AWS

SQL

Job description

Goldman Sachs seeks an Associate Quantitative Strategist to design and deploy advanced econometric models and macroeconomic scenarios for budget planning and risk management. You will build scalable solutions on AWS and contribute to AI-enabled analysis, working with Finance, Risk, and corporate functions to deliver decision-ready insights.

The role targets PhD or Masters graduates with strong quantitative research, forecasting and machine-learning capabilities, and a track record of rigorous