Goldman Sachs
About the Team
Goldman Sachs's Model Risk Management (MRM) team plays a critical role in ensuring the safety and soundness of the firm's models. MRM validates a diverse set of models, including AI and machine learning models, used within the firm. This role offers the opportunity to significantly contribute to the firm's overall model risk management framework and AI.
Job Description The Model Risk Management (MRM) group is a multidisciplinary team of quantitative experts located in New York, Dallas, London, Birmingham, Warsaw, Hong Kong, and Bangalore. The group is responsible for independent oversight of Model Risk at the firm, ensuring compliance with Firmwide Policy on Model Control and related standards. It manages risk that arises from models used across the firm’s businesses—from derivatives valuation to risk management, liquidity, and capital computations. The group independently reviews these models for validity, theoretical consistency, and implementation accuracy, and assesses the risk associated with model choice.
Who We Look For Goldman Sachs is seeking a highly motivated AI Model Risk Professional to join our MRM team in NYC. You will validate the firm's AI models, ensuring accuracy, reliability, and compliance with regulatory requirements. You will work closely with AI researchers, developers, and stakeholders to understand model methodologies, assess risks, and implement validation plans.
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 Bachelor, Master or Ph.D. degree in Computer Science, Mathematics, Physics, Engineering, or a closely related quantitative field.
Programming expertise in Python, including experience with relevant data science libraries (e.g., NumPy, Pandas, TensorFlow, PyTorch).
Relevant experience working with statistical modelling, machine learning algorithms or natural language processing.
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, with offices worldwide. We foster and advance diversity and inclusion, providing opportunities for professional and personal growth, training and development, benefits, wellness and personal‑finance offerings.
Salary Range The expected base salary for this New York, New York position is $130,000–$250,000. Candidates may also be eligible for a discretionary bonus if they are an active employee as of fiscal year‑end.
Benefits Goldman Sachs is committed to providing our people with valuable and competitive benefits and wellness offerings, as part of delivering a strong overall employee experience. A summary of these offerings, generally available to active, non‑temporary, full‑time and part‑time U.S. employees working at least 20 hours per week, can be found on the careers site.
Seniority level Mid‑Senior level
Employment type Full‑time
Job function General Business, Management, and Business Development
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.
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
© The Goldman Sachs Group, Inc., 2023. All rights reserved.
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Job Description The Model Risk Management (MRM) group is a multidisciplinary team of quantitative experts located in New York, Dallas, London, Birmingham, Warsaw, Hong Kong, and Bangalore. The group is responsible for independent oversight of Model Risk at the firm, ensuring compliance with Firmwide Policy on Model Control and related standards. It manages risk that arises from models used across the firm’s businesses—from derivatives valuation to risk management, liquidity, and capital computations. The group independently reviews these models for validity, theoretical consistency, and implementation accuracy, and assesses the risk associated with model choice.
Who We Look For Goldman Sachs is seeking a highly motivated AI Model Risk Professional to join our MRM team in NYC. You will validate the firm's AI models, ensuring accuracy, reliability, and compliance with regulatory requirements. You will work closely with AI researchers, developers, and stakeholders to understand model methodologies, assess risks, and implement validation plans.
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 Bachelor, Master or Ph.D. degree in Computer Science, Mathematics, Physics, Engineering, or a closely related quantitative field.
Programming expertise in Python, including experience with relevant data science libraries (e.g., NumPy, Pandas, TensorFlow, PyTorch).
Relevant experience working with statistical modelling, machine learning algorithms or natural language processing.
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, with offices worldwide. We foster and advance diversity and inclusion, providing opportunities for professional and personal growth, training and development, benefits, wellness and personal‑finance offerings.
Salary Range The expected base salary for this New York, New York position is $130,000–$250,000. Candidates may also be eligible for a discretionary bonus if they are an active employee as of fiscal year‑end.
Benefits Goldman Sachs is committed to providing our people with valuable and competitive benefits and wellness offerings, as part of delivering a strong overall employee experience. A summary of these offerings, generally available to active, non‑temporary, full‑time and part‑time U.S. employees working at least 20 hours per week, can be found on the careers site.
Seniority level Mid‑Senior level
Employment type Full‑time
Job function General Business, Management, and Business Development
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.
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
© The Goldman Sachs Group, Inc., 2023. All rights reserved.
#J-18808-Ljbffr