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Vice President Goldman Sachs Full Stack Developer Jobs

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Vice President Goldman Sachs Full Stack Developer information

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How much do vice president goldman sachs full stack developer jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for vice president goldman sachs full stack developer in the United States is $59.26, according to ZipRecruiter salary data. Most workers in this role earn between $49.28 and $68.27 per hour, depending on experience, location, and employer.
What are the most commonly searched types of Goldman Sachs Full Stack Developer jobs? The most popular types of Goldman Sachs Full Stack Developer jobs are:
Risk-Dallas-Vice President, Software Engineering-3704179

Risk-Dallas-Vice President, Software Engineering-3704179

Goldman Sachs

Dallas, TX

Other

Posted 13 days ago


Goldman Sachs rating

8.2

Company rating: 8.2 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

44th of 149 rated banks


Job description

Job Duties: Vice President, Software Engineering with Goldman Sachs & Co. LLC in Dallas, TX. Design and implement high-quality, scalable and thoughtful technology solutions leveraging both internal and open-source services. Deliver regular and reliable risk metrics, analytics & insights based on deep understanding of the firm's businesses and activities via regular reporting, customized risk analysis, systematically generated risk reporting and risk tools. Work with internal teams to develop solution designs and perform User Acceptance Testing in coordination with other Engineering teams in order to integrate and validate newly developed applications. Build robust, systematic & efficient workflows, processes, and procedures around the production of risk analytics for financial & non-financial risk, risk capital and regulatory reporting. Analyze quantitative risk metrics using financial models such as Value at Risk (VaR) and Stress Test measures, to estimate market risk impact on clients and the Firm. Provide training and guidance to junior team members.

Job Requirements: Master's degree (U.S. or foreign equivalent) in Computer Science, Computer Engineering, Financial Engineering, Finance, Mathematics, or a related field and three (3) years of experience in job offered or a related role OR Bachelor's degree (U.S. or foreign equivalent) in Computer Science, Computer Engineering, Financial Engineering, Finance, Mathematics, or a related field and five (5) years of experience in job offered or a related 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 the following skills: programming for extract transform load (ETL) operations and data analysis (including performance optimization) using languages such as Python, Java, C++, SQL and R; developing data visualization and business intelligence solutions using tools such as Tableau, Alteryx, PowerBI, and front-end technologies and languages; assessing market risk measures using VaR, stress testing and greeks; utilizing statistics, time series analysis, and numerical algorithms; and developing risk analytics and interpretation & productivity tools for cultivating insights into risk & capital metric data.

The Goldman Sachs Group, Inc., 2026. All rights reserved. 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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About Goldman Sachs

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At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1869