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.
Requirements: 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; microservices architecture design and development including REST, Spring, or other back-end technologies; and database query languages, including SQL or NoSQL technologies such as MongoDB.
Application Instructions: QUALIFIED APPLICANTS: apply at gs.com and click on "Careers." NO PHONE CALLS PLEASE.
Job Code: 9134899
Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veteran status, disability, or any other characteristic protected by applicable law.
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