Goldman Sachs seeks a Vice President, Quantitative Engineering in New York to lead the design, development, implementation, and documentation of advanced quantitative models and scenarios for time series forecasting. You will incorporate economic, financial, and business-risk variables to address practical issues in finance and risk management, and conduct uncertainty quantification.
Develop and deploy explainable ML models for event prediction, risk scoring, and governance reviews.
#J-18808-LjbffrVP, Quantitative Engineering: AI/ML Forecasting & Risk in new york at Unknown Company
This position is listed as full time and onsite.