Jobs at Goldman Sachs

22,084 open positions

Goldman Sachs is a global investment bank and financial services firm that has expanded into technology, driving innovations in fintech, AI, machine learning, and data analytics. It partners with startups and corporates to build digital platforms for trading, risk management, and regulatory compliance.

Tech professionals at Goldman Sachs find roles ranging from software engineering and data science to cybersecurity, cloud infrastructure, product management, and AI research. Candidates can expect rigorous coding challenges, system design interviews, and behavior questions that assess problem‑solving, teamwork, and a growth mindset.

Job Transparency’s listings for Goldman Sachs provide real‑time salary ranges, employee sentiment ratings, and interview feedback. This insight lets you benchmark offers, negotiate confidently, and target positions that match both your skill set and compensation expectations.

Internal Audit - Quality Assurance & Improvement Program, Associate

Company: Goldman Sachs

Location: New York, NY

Posted Jan 22, 2025

The Quality Assurance and Improvement Program (QAIP) Group is tasked with ensuring high-quality, consistent, and risk-focused assurance work. This is achieved through quality assurance reviews, process improvements, and influencing methodology-related initiatives. Responsibilities include executing QA reviews, monitoring industry changes, conducting thematic reviews, collaborating for continuous improvement, and delivering targeted training. Preferred qualifications include 4+ years of experience in financial services, understanding of risks and controls, strong communication and analytical skills, and relevant professional certifications. The role offers a competitive salary range of $85,000-$140,000 in New York, NY, along with comprehensive benefits.

Wealth Management-Salt Lake City-Associate-Software Engineering

Company: Goldman Sachs

Location: Salt Lake City, UT

Posted Jan 22, 2025

Goldman Sachs is seeking a Software Engineer to join the Private Wealth Management (PWM) Client Communications Platform team. The role involves building a strategic platform for delivering communications to clients through various channels, including statements, tax documents, and more. The platform should be capable of managing large volumes of communication requests with varying time sensitivity. The engineer will act as a hands-on developer, writing code, testing, and deploying software. They will also contribute to the design of components, ensuring scalability and extensibility. Preferred qualifications include experience with Java, REST services, Spring/Spring boot, No-SQL databases like MongoDB, and observability using Prometheus.

Frequently Asked Questions

What is it like to work at Goldman Sachs?
Working at Goldman Sachs blends high‑impact projects with a culture that values continuous learning. Employees collaborate across global teams, participate in mentorship programs, and receive competitive benefits such as equity, health plans, and generous paid time off. The firm emphasizes a data‑driven approach, so you can expect to work on real‑world financial systems, develop cutting‑edge algorithms, and receive regular feedback through performance reviews.
What types of positions are available at Goldman Sachs?
Goldman Sachs hires for a wide spectrum of tech roles: software engineers (frontend, backend, full stack), data scientists, machine learning engineers, cybersecurity analysts, cloud architects, product managers, UI/UX designers, and infrastructure specialists. Finance‑focused roles include quantitative analysts, risk modelers, and algorithmic traders, often requiring strong programming and statistical skills.
How can I stand out as an applicant for Goldman Sachs?
Stand out by aligning your experience with the firm’s focus on impact and innovation. Quantify how your projects improved performance or reduced costs, demonstrate proficiency in languages and tools used at Goldman Sachs (Python, Java, SQL, Spark, Kubernetes), and prepare for the firm’s signature coding challenges by practicing algorithmic problems, system design, and mock interviews. Highlight any financial domain knowledge or projects that intersect technology and finance, and show a commitment to continuous learning through certifications or open‑source contributions.

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