Associate Quantitative Strategist - Planning & Risk

Goldman Sachs Group; Paris; On-site; EUR 140,000 - 210,000; Full time

Job summary

Goldman Sachs Group in Paris seeks an Associate Quantitative Strategist to design and implement quantitative models and macro scenarios for budgeting and risk management. The role emphasizes econometric forecasting, machine learning, and large-scale data analysis on AWS, with opportunities to develop AI-enabled capabilities for scenario analysis and reporting.

The position targets recent PhD graduates or candidates with strong research in statistics, econometrics, finance or computational math,

Qualifications

• PhD or Master’s in quantitative field with strong academic background.
• Experience with quantitative modeling and scenario design is valued.

Responsibilities

• Research and develop quantitative models and macroeconomic scenarios for budgeting and risk.
• Develop econometric and time-series models for forecasting revenues, expenses and balance sheet items.
• Build scalable analytical tools and AWS-based infrastructure to support scenario development and reporting.
• Collaborate with Finance, Risk and other functions to translate requirements into methods and analyses.
• Prepare auditable materials for governance, Model Risk Management and regulatory needs.

Skills

Rust

Python

C++

Econometrics

Machine learning

AWS

SQL

Data analysis

Education

PhD in quantitative field

Master's in quantitative field

Bachelor's in quantitative field

Tools

AWS

SQL

Job description

Goldman Sachs Group in Paris seeks an Associate Quantitative Strategist to design and implement quantitative models and macro scenarios for budgeting and risk management. The role emphasizes econometric forecasting, machine learning, and large-scale data analysis on AWS, with opportunities to develop AI-enabled capabilities for scenario analysis and reporting.

The position targets recent PhD graduates or candidates with strong research in statistics, econometrics, finance or computational math,