Associate, Quantitative Engineering at Goldman Sachs & Co. LLC
Dallas, TX
About the Job
Associate, Quantitative Engineering with Goldman Sachs & Co. LLC in Dallas, TX. Develop, implement, and document scenarios comprised of a broad range of economic and financial variables for businesses within the Firm. Collaborate with internal stakeholders, analyzing user needs from a scenario design perspective and addressing data, model, and implementation issues. Requires: Master’s degree (U.S. or foreign equivalent) in Mathematics, Computer Science, Financial Engineering, Industrial Engineering, or a related quantitative field and one (1) year of experience in job offered or a related quantitative engineering role or Bachelor’s degree (U.S. or foreign equivalent) in Mathematics, Computer Science, Financial Engineering, Industrial Engineering, or a related quantitative field and three (3) years of experience in job offered or a related quantitative engineering role. Prior experience must include one (1) year of experience (with a Master’s degree) OR three (3) years of experience (with a Bachelor’s degree) with the following: C++, Java, or Python; developing probability and pricing models utilizing mathematics principles, including stochastic calculus, partial differential equations, multivariable calculus, linear algebra, numerical methods, optimization, probability, or random processes; working with source control such as CVS, git, or subversion; quantitative analysis and model development using advanced econometric, statistical, and mathematical techniques, including Bayesian analysis, time series analysis, or machine learning algorithms; performing risk management or scenario-based analysis; developing quantitative risk analytics, including factor models; developing rigorous and scalable data management and analysis tools; and statistics and data driven performance analysis, including Linear Regression or Time Series Analysis to measure performance. Job Code: 8095455
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