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Vice President Model Risk Management Jobs in Ridgewood, NJ

Vice President, Risk Management Reports To: Chief Legal Officer Department: Legal FLSA Status: Exempt LEGENDS GLOBAL Legends Global is the premier partner to the world's greatest live events, venues ...

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The incumbent will be responsible for the oversight of the operational risk management framework and program including IT risk management, business continuity planning. The VP will be responsible for ...

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Vice President Model Risk Management information

See Ridgewood, NJ salary details

$44K

$159.4K

$280.8K

How much do vice president model risk management jobs pay per year?

As of Aug 22, 2026, the average yearly pay for vice president model risk management in Ridgewood, NJ is $159,388.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,400.00 and $192,200.00 per year, depending on experience, location, and employer.

What is the difference between Vice President Model Risk Management vs Model Validation Analyst?

AspectVice President Model Risk ManagementModel Validation Analyst
CredentialsAdvanced degrees (e.g., MBA, PhD), certifications like FRM or CFABachelor's or Master's in finance, statistics, or related fields; certifications like FRM or CFA often preferred
Work EnvironmentStrategic leadership, cross-department collaboration, executive-level reportingAnalytical, detail-oriented work focused on model testing and validation
Employer & Industry UsageFinancial institutions, banks, asset managers, regulatory bodiesFinancial firms, risk management teams, model development groups

The Vice President Model Risk Management oversees the entire model risk framework, focusing on strategy, governance, and high-level risk assessment. In contrast, the Model Validation Analyst conducts detailed testing and validation of models to ensure accuracy and compliance. While both roles require strong quantitative skills and relevant certifications, the VP role is more strategic and managerial, whereas the analyst role is more technical and operational.

What does a Vice President Model Risk Management do?

A Vice President of Model Risk Management oversees the development, validation, and monitoring of financial models to ensure their accuracy and compliance with regulatory standards. They assess model risks, implement controls, and collaborate with teams to mitigate potential financial and operational impacts, often using tools like statistical software and risk management frameworks.

What are the most commonly searched types of Model Risk Management jobs in Ridgewood, NJ?

The most popular types of Model Risk Management jobs in Ridgewood, NJ are:

What are popular job titles related to Vice President Model Risk Management jobs in Ridgewood, NJ?

For Vice President Model Risk Management jobs in Ridgewood, NJ, the most frequently searched job titles are:

What job categories do people searching Vice President Model Risk Management jobs in Ridgewood, NJ look for?

The top searched job categories for Vice President Model Risk Management jobs in Ridgewood, NJ are:

What cities near Ridgewood, NJ are hiring for Vice President Model Risk Management jobs?

Cities near Ridgewood, NJ with the most Vice President Model Risk Management job openings:

Risk, AI Model Validation, Vice President, New York

Goldman Sachs, Inc.

New York, NY • On-site

Full-time

Re-posted 16 days ago


Goldman Sachs rating

7.8

Company rating: 7.8 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

88th of 171 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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Goldman Sachs logo

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