Quantitative Strategist Associate — AI-driven Planning

Goldman Sachs Group, Inc.; New York (NY); On-site; USD 90,000 - 120,000; Full time

Benefits offered by this job

Healthcare and Medical Services

Financial Wellness and Retirement Planning

On-site Fitness Centers

Child Care Services

Job summary

Goldman Sachs Group, Inc. is seeking an Associate Quantitative Strategist in New York, NY. The role focuses on developing advanced quantitative models for financial forecasting and automating analysis through AI systems.

The ideal candidate will have a PhD in a quantitative field such as Statistics or Computer Science and possess strong programming skills in Python along with familiarity in Cloud computing and econometric models.

Qualifications

• PhD graduates with strong academic research backgrounds are preferred.
• Demonstrated experience with programming languages such as Python and Rust.
• Prior experience in econometrics and time-series analysis is necessary.

Responsibilities

• Design and develop advanced quantitative models for time-series forecasting.
• Collaborate with stakeholders to tailor analytical metrics for senior leadership.
• Execute the model development lifecycle from data collection to deployment.

Skills

Python Programming

Machine Learning

Econometrics

Causal Inference

Statistical Modeling

Education

PhD in Statistics, Computer Science, Applied Mathematics, Physics, or related field

Tools

Cloud Computing

Rust

C++

Job description

Goldman Sachs Group, Inc. is seeking an Associate Quantitative Strategist in New York, NY. The role focuses on developing advanced quantitative models for financial forecasting and automating analysis through AI systems.

The ideal candidate will have a PhD in a quantitative field such as Statistics or Computer Science and possess strong programming skills in Python along with familiarity in Cloud computing and econometric models.