Vice President, Quantitative Engineering with Goldman Sachs & Co. LLC in New York, New York. Collaborate with internal stakeholders, analyzing user needs from a scenario design perspective and addressing data, model, and implementation issues. Design and implement high-quality, scalable and thoughtful technology solutions leveraging both internal and open-source services. Requires: Master’s degree (U.S. or foreign equivalent) in Computer Science, Computer Engineering, Financial Engineering, Applied Mathematics or a related quantitative field and three (3) years of experience in job offered or a related quantitative or software engineering role OR Bachelor’s degree (U.S. or foreign equivalent) in Computer Science, Computer Engineering, Financial Engineering, Applied Mathematics or a related quantitative field and five (5) years of experience in job offered or a related quantitative or software engineering role. Prior experience must include three (3) years of experience (with a Master’s degree) OR five (5) years of experience (with a Bachelor’s degree) with 5 of the 7 following skills: C++, Java, or Python; quantitative analysis and model development using advanced econometric, statistical, and mathematical techniques, including Bayesian analysis, time series analysis, or machine learning algorithms; developing rigorous and scalable data management and analysis tools to provide risk oversight and support the investment process; full software development lifecycle, including requirements gathering, design, coding, testing, documentation, deployment, and production support; building multi-threaded and multi-process service-oriented enterprise applications within Unix environment; micro-services architecture design and development including REST, Spring, or other back-end technologies; and database query languages, including SQL or NoSQL technologies such as MongoDB. Job Code: 9134899
Salary Range: Annual base salary for this New York, New York-based position is $113,000 - $276,000.
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