VP, Quantitative Engineering: AI/ML Forecasting Leader
Goldman Sachs
Goldman Sachs is seeking a Vice President of Quantitative Engineering in New York, NY to lead design, development, and deployment of advanced quantitative models and scenarios for time series forecasting. You will integrate economic, financial, and business-risk variables and conduct uncertainty quantification to support risk management and governance reviews. The role requires a PhD or Master’s/ Bachelor’s with extensive experience in C++, R, or Python, econometrics and ML with explainability, #J-18808-Ljbffr Goldman Sachs
Vacancy posted 2 days ago
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