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Model Validation Quant Jobs (NOW HIRING)

Barclays

Model Validation AVP

Wilmington, DE

Validation of models for their intended use and scope, commensurate with the complexity and ... Understanding of quantitative techniques and statistical models * Knowledge of financial crime, AML ...

Barclays

Model Validation AVP

New York, NY · On-site

Validation of models for their intended use and scope, commensurate with the complexity and ... Understanding of quantitative techniques and statistical models * Knowledge of financial crime, AML ...

Vangard, Inc.

Model Validator

Malvern, PA · On-site

... validation and challenge of models used within IMG, ensuring they are conceptually sound, wellgoverned, and fit for purpose. You will work closely with data scientists, quantitative developers ...

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How much do model validation quant jobs pay per hour?

As of May 31, 2026, the average hourly pay for model validation quant in the United States is $52.00, according to ZipRecruiter salary data. Most workers in this role earn between $39.42 and $63.22 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Model Validation Quant, and why are they important?

To thrive as a Model Validation Quant, you need a strong background in quantitative finance, statistics, and mathematics, typically with an advanced degree such as a Master's or PhD. Familiarity with programming languages like Python, R, or MATLAB, and experience with risk management systems and model validation frameworks are crucial. Attention to detail, critical thinking, and clear communication help distinguish top performers in this field. These skills ensure accurate model assessments, regulatory compliance, and effective risk mitigation in financial institutions.

What are some of the main challenges a Model Validation Quant faces when assessing complex financial models?

One of the primary challenges for a Model Validation Quant is evaluating the robustness and accuracy of sophisticated models, especially when underlying assumptions or input data are uncertain. This often requires a deep understanding of both quantitative finance and programming, as well as the ability to communicate findings clearly to stakeholders who may not have technical backgrounds. Additionally, staying updated on regulatory requirements and best practices is crucial, as validation standards frequently evolve. Collaborating effectively with model developers and risk managers is also key to ensuring models meet both business and regulatory expectations.

What are Model Validation Quants?

Model Validation Quants are quantitative analysts who assess and validate the financial models used by banks and financial institutions. Their main job is to independently review models for pricing, risk management, and capital calculation to ensure they are accurate, robust, and compliant with regulatory standards. They identify potential model weaknesses, suggest improvements, and document their findings. This helps organizations manage model risk and maintain regulatory compliance.

What is the difference between Model Validation Quant vs Model Risk Analyst?

AspectModel Validation QuantModel Risk Analyst
Required CredentialsQuantitative degrees (Math, Finance, Engineering), certifications like CFA or FRMSimilar credentials, often with risk management certifications
Work EnvironmentQuantitative teams, model validation departments, financial institutionsRisk management teams, compliance departments, financial firms
Industry UsagePrimarily in banking, asset management, hedge fundsAcross banking, insurance, asset management
Common Search/ComparisonModel Validation Quant vs Model Risk Analyst

The Model Validation Quant focuses on independently testing and validating financial models to ensure accuracy and compliance. The Model Risk Analyst also assesses models but often has a broader role in identifying and mitigating overall model risks within an organization. Both roles require strong quantitative skills and industry experience, but the Validation Quant is more specialized in model testing, while the Risk Analyst covers wider risk management functions.

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What job categories do people searching Model Validation Quant jobs look for? The top searched job categories for Model Validation Quant jobs are:
Model Validation Quant jobs near you
Infographic showing various Model Validation Quant job openings in the United States as of May 2026, with employment types broken down into 85% Full Time, 5% Part Time, 5% Temporary, and 5% Contract. Highlights an 91% Physical, and 9% Remote job distribution, with an average salary of $108,152 per year, or $52 per hour.

Model Validation Specialist

Sumitomo Mitsui Financial Group, Inc.

Charlotte, NC • Hybrid

Other

Posted 24 days ago

Job description

SMBC Group is a top-tier global financial group. Headquartered in Tokyo and with a 400-year history, SMBC Group offers a diverse range of financial services, including banking, leasing, securities, credit cards, and consumer finance. The Group has more than 130 offices and 80,000 employees worldwide in nearly 40 countries. Sumitomo Mitsui Financial Group, Inc. (SMFG) is the holding company of SMBC Group, which is one of the three largest banking groups in Japan. SMFG's shares trade on the Tokyo, Nagoya, and New York (NYSE: SMFG) stock exchanges.

In the Americas, SMBC Group has a presence in the US, Canada, Mexico, Brazil, Chile, Colombia, and Peru. Backed by the capital strength of SMBC Group and the value of its relationships in Asia, the Group offers a range of commercial and investment banking services to its corporate, institutional, and municipal clients. It connects a diverse client base to local markets and the organization's extensive global network. The Group's operating companies in the Americas include Sumitomo Mitsui Banking Corp. (SMBC), SMBC Nikko Securities America, Inc., SMBC Capital Markets, Inc., SMBC MANUBANK, JRI America, Inc., SMBC Leasing and Finance, Inc., Banco Sumitomo Mitsui Brasileiro S.A., and Sumitomo Mitsui Finance and Leasing Co., Ltd.

Role Description

Reporting to the Manager, Model Validation Group, the Model Validation Associate plays an integral role in the implementation of the Model Risk Management framework for NYB and its subsidiaries. The role involves performing independent validation of credit risk and capital stress testing models, with the objective of strengthening model risk governance and enhancing overall model quality.

The Associate is responsible for documenting model development in accordance with regulatory expectations and internal standards, and for assessing the suitability of models for their intended business purpose. The role also includes supporting the development and review of model-related policies and procedures, conducting audits of adherence to established frameworks, and designing and executing back-testing methodologies to evaluate model performance and ensure results are reasonable, robust, and reliable.

Role Objectives
  • Conducts model validation across SMBC businesses and group companies for their intended use and scope, commensurate with the complexity and materiality of the models.
  • Develops model validation methodology to assess models to confirm the conceptual soundness of model theory, quality of model implementation, and robustness of model ongoing monitoring.
  • Identify model deficiencies through validations, communicate the issue with model owners and senior management, and provide feasible and adequate recommendations.
  • Conduct reviews on model annual assessment, model changes, and ongoing monitoring results.
  • Develop and maintain documentation templates, testing packages and automation tools/scripts to standardize validation processes.
  • Support audits and examinations for credit risk and stress testing models.
  • Communicates findings from validation work to management and stakeholders, including recommendations as appropriate.
  • Ensure business continuity under all conditions, sometimes adverse, with strict adherence to established guidelines and deadlines.
Qualifications and Skills
  • Minimum master's or equivalent degree in Statistics, Mathematics, Engineering, Computer Science or related fields.
  • Preferred experience in model validation and model development; and working with large and complex data sets.
  • knowledge in loss reserve, CECL, capital and stress testing models.
  • knowledge of SR11-7, CECL, CCAR, and other regulatory requirements.
  • Strong analytical skills, both quantitative and qualitative.
  • Strong written and verbal communication skills, with the ability to present complex information clearly and concisely.
  • Ability to build and maintain effective working relationships with stakeholders at all levels. Demonstrated ability to work collaboratively in a team environment.
  • Recommended years of experience: 0-5

SMBC's employees participate in a Hybrid workforce model that provides employees with an opportunity to work from home, as well as, from an SMBC office. SMBC requires that employees live within a reasonable commuting distance of their office location. Prospective candidates will learn more about their specific hybrid work schedule during their interview process. Hybrid work may not be permitted for certain roles, including, for example, certain FINRA-registered roles for which in-office attendance for the entire workweek is required.

SMBC provides reasonable accommodations during candidacy for applicants with disabilities consistent with applicable federal, state, and local law. If you need a reasonable accommodation during the application process, please let us know at accommodations@smbcgroup.com.

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