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How much do goldman sachs machine learning jobs pay per hour?

As of Jul 17, 2026, the average hourly pay for goldman sachs machine learning in the United States is $18.35, according to ZipRecruiter salary data. Most workers in this role earn between $15.87 and $20.19 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Machine Learning professional at Goldman Sachs, and why are they important?

To thrive as a Machine Learning professional at Goldman Sachs, you need a solid background in computer science, statistics, and quantitative analysis, typically supported by an advanced degree in a related field. Expertise in programming languages such as Python or Java, experience with machine learning frameworks (e.g., TensorFlow, PyTorch), and familiarity with financial data systems are essential. Strong problem-solving skills, effective communication, and the ability to collaborate across multidisciplinary teams set top candidates apart. These skills are crucial for creating innovative, reliable, and compliant data-driven solutions that drive business value in the fast-paced financial sector.

What do machine learning professionals at Goldman Sachs do?

Machine learning professionals at Goldman Sachs develop and implement algorithms that analyze large datasets to improve decision-making and automate processes across the firm. They work on projects ranging from risk assessment and fraud detection to trading strategies and client personalization. These roles involve close collaboration with engineers, data scientists, and financial experts to create innovative solutions that drive business value and efficiency. The work is highly dynamic and requires strong programming, statistical, and analytical skills.

What is the difference between Goldman Sachs Machine Learning vs Goldman Sachs Data Analyst?

AspectGoldman Sachs Machine LearningGoldman Sachs Data Analyst
Required CredentialsDegree in Computer Science, Data Science, or related fields; experience with ML algorithmsDegree in Finance, Economics, or related fields; proficiency in data analysis tools
Work EnvironmentFocus on developing ML models, programming, and algorithm optimizationData interpretation, reporting, and supporting decision-making processes
Employer & Industry UsageTech-driven roles within finance, emphasizing AI and automationFinancial services, emphasizing data reporting and analysis

Goldman Sachs Machine Learning roles primarily involve developing and implementing machine learning models, requiring technical skills in programming and algorithms. In contrast, Goldman Sachs Data Analysts focus on analyzing financial data, generating reports, and supporting business decisions. Both roles are integral to the firm's data-driven strategies but differ in technical depth and daily tasks.

What types of projects do machine learning professionals typically work on at Goldman Sachs?

Machine learning professionals at Goldman Sachs often collaborate with cross-functional teams to develop predictive models for risk assessment, automate trading strategies, and enhance client services through natural language processing and recommendation systems. These projects require close cooperation with data engineers, financial analysts, and software developers to ensure models are both technically robust and aligned with business objectives. The work environment emphasizes innovation, continuous learning, and the application of cutting-edge techniques to solve complex financial challenges.
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Goldman Sachs Machine Learning jobs near you
Infographic showing various Goldman Sachs Machine Learning job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 59% As Needed, 17% Full Time, 12% Part Time, and 11% Nights. Highlights an 96% Physical, and 4% Remote job distribution, with an average salary of $38,160 per year, or $18.3 per hour.
Risk, AI Model Validation, Vice President, New York

Risk, AI Model Validation, Vice President, New York

Goldman Sachs

New York, NY

Other

Posted 9 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

MODEL RISK MANAGEMENT (MRM)

The Model Risk Management (MRM) group is a multidisciplinary group of quantitative experts at Goldman Sachs with presence in New York, Dallas, London, Birmingham, Warsaw, Hong Kong, Bangalore and Hyderabad. The MRM group is responsible for independent oversight of Model Risk at the firm, ensuring compliance with Firmwide Policy on Model Control and related standards, including documentation to evidence effective challenge over the Model development, implementation, and usage of Models.

The group's primary mandate is to manage risk that arises from models used in the firm through its range of businesses- from models used for derivatives valuation to models used for risk management, liquidity and capital computations. In addition to independently reviewing these classes of models for their validity, theoretical consistency and implementation accuracy, the group is also responsible to assess the risk associated with model choice, e.g., exposure to choice of model in various contexts such as pricing exotic options or in calculating capital.

Who We Look For
Goldman Sachs is seeking a highly motivated AI Model Risk Vice President to join our Model Risk Management (MRM) team in New York.  You will play a crucial role in validating the firm's AI models, ensuring their accuracy, reliability, and compliance with regulatory requirements. This is a unique opportunity to gain exposure to a wide range of AI applications within a leading global financial institution and contribute directly to the firm's risk management framework.  You will work closely with AI researchers, AI model developers, and other stakeholders to understand model methodologies, assess model risks, and implement validation plans and benchmarking models. 


Responsibilities

  • Independently validate the performance, accuracy, and reliability of AI models used within Goldman Sachs, focusing on aspects such as accuracy, explainability, model design, and algorithmic robustness.
  • Develop and implement validation methodologies and benchmark models tailored to the specific characteristics of AI models.
  • Conduct thorough testing and analysis of model outputs, identifying and documenting potential risks and limitations.
  • Collaborate with model developers and business stakeholders to address identified issues and improve model performance.

Preferred Qualifications

  • A Ph.D. degree in Computer Science, Mathematics, Physics, Engineering, or a closely related quantitative field.
  • Understanding of statistical modelling and machine learning algorithms
  • 5+ years of working experience in a quantitative field as a model developer or a data researcher.
  •  Preferable skillset: some experience in AI models
  • Programming expertise in Python, including experience with relevant data science libraries (e.g., NumPy, Pandas, TensorFlow, Pytorch).
  • Excellent analytical, problem-solving, and communication skills.
  • Demonstrated curiosity, ownership, and a willingness to work in a collaborative environment.

ABOUT GOLDMAN SACHS

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. Learn more about our culture, benefits, and people at GS.com/careers. 

We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html

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About Goldman Sachs

Sourced by ZipRecruiter

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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