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How much do goldman sachs computer science jobs pay per year?

As of Jun 13, 2026, the average yearly pay for goldman sachs computer science in the United States is $102,500.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,000.00 and $115,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Goldman Sachs Computer Science position, and why are they important?

To thrive in a Computer Science role at Goldman Sachs, you need a strong background in computer science, software engineering, and quantitative analysis, often supported by a relevant degree. Familiarity with programming languages like Java, Python, or C++, as well as experience with distributed systems, databases, and regulatory-compliant development tools is typically expected. Strong problem-solving abilities, collaborative teamwork, and clear communication skills are highly valued in this fast-paced environment. These skills ensure the ability to deliver robust technology solutions that support the firm's complex financial operations and innovation goals.

Is it hard to get hired at Goldman Sachs?

Getting hired for a computer science role at Goldman Sachs is competitive, often requiring strong technical skills, relevant experience, and a solid educational background in computer science or related fields. The hiring process typically involves multiple interview rounds, coding assessments, and evaluations of problem-solving abilities. Candidates who demonstrate proficiency in programming languages, data structures, and financial technology tools tend to have better chances of success.

Are CS grads struggling to find jobs?

Computer Science graduates often find strong job prospects in technology firms, including financial institutions like Goldman Sachs, which seek skills in programming, data analysis, and cybersecurity. While competition exists, demand for technical skills remains high, especially for roles requiring proficiency in programming languages, software development, and problem-solving. Success depends on relevant experience, internships, and certifications such as coding bootcamps or industry-standard credentials.

What is a Goldman Sachs Computer Science job?

A Goldman Sachs Computer Science job typically refers to a technical role within the firm's engineering division, where professionals work on software development, data analysis, cybersecurity, and financial technology solutions. These roles involve designing and maintaining critical systems for trading, risk management, and banking operations. Candidates usually have expertise in programming languages like Java, Python, or C++, and a strong foundation in algorithms and data structures. The firm looks for problem-solving skills and the ability to work in a fast-paced financial environment.

What is the Goldman Sachs 15 minute rule?

The Goldman Sachs 15 minute rule is a time management guideline encouraging employees to respond to emails, messages, or tasks within 15 minutes to maintain productivity and prompt communication. It emphasizes quick acknowledgment and action, especially in fast-paced roles like those in finance or technology at Goldman Sachs.

What are some common projects or tasks that Computer Science professionals work on at Goldman Sachs?

At Goldman Sachs, Computer Science professionals are involved in designing, building, and maintaining advanced technology platforms that support trading, risk management, and data analysis. Day-to-day responsibilities may include developing new applications, optimizing existing systems for performance and scalability, and collaborating closely with business analysts, traders, and other stakeholders to deliver high-impact solutions. There is a strong emphasis on continuous learning and innovation, with opportunities to work on cutting-edge initiatives such as machine learning-driven analytics and cloud-based infrastructure. You'll be part of agile, cross-functional teams where collaborative problem-solving and open communication are central to success.

How much does Goldman Sachs pay computer science?

Salaries for computer science roles at Goldman Sachs vary based on experience, role, and location, but entry-level positions typically start around $80,000 to $100,000 annually. More experienced professionals or those in specialized roles can earn significantly higher, often exceeding $150,000 with bonuses and benefits included.
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Goldman Sachs Computer Science jobs near you
Infographic showing various Goldman Sachs Computer Science job openings in the United States as of June 2026, with employment types broken down into 1% Internship, 5% As Needed, 1% Full Time, 89% Part Time, 3% Temporary, and 1% Nights. Highlights an 95% Physical, and 5% Remote job distribution, with an average salary of $102,500 per year, or $49.3 per hour.
Engineering - New York - Vice President, Quantitative Engineering - 049539

Engineering - New York - Vice President, Quantitative Engineering - 049539

Goldman Sachs

New York, NY

$153K - $276K/yr

Other

Posted 23 days ago

Goldman Sachs rating

8.3

Company rating: 8.3 out of 10

Based on 25 frontline employees who took The Breakroom Quiz

29th of 141 rated banks

Job description

Job Duties: Vice President, Quantitative Engineering with Goldman Sachs & Co. LLC in New York, NY (Multiple positions available). Lead the development, implementation, and documentation of 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. Analyze large data sets (structured and unstructured) to build predictive models of business-relevant market variables. Develop, refine, and improve scenarios by leveraging knowledge in financial markets, economics, current events, statistical analysis, and programming. Build and challenge risk models, identify and quantify vulnerabilities across market, credit, liquidity risk and modeling. Create and maintain clear and complete technical documentation of the risk-model performance testing approach and process. Mentor junior and mid-level team members.

Job Requirements: Master's degree (U.S. or foreign equivalent) in Computer Science, Financial Engineering, Applied Mathematics, Data Science, Operations Research, or related quantitative field and three (3) years of experience in the job offered or a related quantitative engineering role OR Bachelor's degree (U.S. or foreign equivalent) in Computer Science, Financial Engineering, Applied Mathematics, Data Science, Operations Research, or related quantitative field and five (5) years of experience in the job offered or a related quantitative engineering role OR Doctorate (Ph.D.) degree (U.S. or foreign equivalent) in Computer Science, Financial Engineering, Applied Mathematics, Data Science, Operations Research, or related quantitative field and one (1) year of experience in the job offered or a related quantitative engineering role. Prior experience must include three (3) years of experience (with Master's degree) OR five (5) years of experience (with Bachelor's degree) OR one (1) year of experience (with PhD degree) with 5 of the 8 following skills: C++, Java, or Python; performing financial mathematics, including at least one of the following: stochastic calculus, no-arbitrage pricing theory, multivariable calculus, linear algebra, probability theory, numerical methods, or Monte-Carlo techniques; performing analysis leveraging market risk, credit risk, liquidity risk, or mathematical finance concepts; object-oriented programming and scripting programming languages such as Python or Java; implementing mathematical models or analytics in production-quality software; working with database query languages, such as SQL, MongoDB, or other data management tools to process large datasets; applying algorithms or data structures to write complex programs; developing pricing models for financial products to model risk, economics, and cash flows under normal and distressed market environments.

Salary Range: Annual base salary for this New York, New York -based position is $153,000 - $276,000.

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

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