ZipRecruiter

Log In

1

Model Validation Quant Jobs (NOW HIRING)

Bloomberg LP

Model Validation Expert

New York, NY · On-site

Model Validation Expert Location New York Business Area Legal, Compliance, and Risk Ref # 10052595 ... The role may also extend to related quantitative, AI/ML, and data-driven models across the firm.

Synchrony Financial

AVP, Model Validation

Canton, OH

Master's degree (or foreign equivalent) in Statistics, Mathematics, Data Science or related quantitative field and 4+ years' experience in model development / model validation experience in financial ...

Alliant Credit Union

Lead Model Validation

Chicago, IL · Hybrid

$95K - $163K/yr

Preferred - Graduate Degree in Mathematics, Statistics, Economics, Quantitative Finance, Engineering, Computer Science or related * Minimum - 5 Years of Build, test, implement, or validate models ...

Synchrony Financial

AVP, Model Validation

Dallas, TX

Master's degree (or foreign equivalent) in Statistics, Mathematics, Data Science or related quantitative field and 4+ years' experience in model development / model validation experience in financial ...

Synchrony Financial

AVP, Model Validation

Draper, UT

Master's degree (or foreign equivalent) in Statistics, Mathematics, Data Science or related quantitative field and 4+ years' experience in model development / model validation experience in financial ...

Synchrony Financial

AVP, Model Validation

Canton, OH · On-site

$100K - $170K/yr

Master's degree (or foreign equivalent) in Statistics, Mathematics, Data Science or related quantitative field and 4+ years' experience in model development / model validation experience in financial ...

Synchrony Financial

AVP, Model Validation

Manhattan, NY · On-site

$100K - $170K/yr

Master's degree (or foreign equivalent) in Statistics, Mathematics, Data Science or related quantitative field and 4+ years' experience in model development / model validation experience in financial ...

Synchrony Financial

AVP, Model Validation

Bryant, AR

Master's degree (or foreign equivalent) in Statistics, Mathematics, Data Science or related quantitative field and 4+ years' experience in model development / model validation experience in financial ...

Alliant

Lead Model Validation

Chicago, IL · On-site

$95K - $163K/yr

Preferred - Graduate Degree in Mathematics, Statistics, Economics, Quantitative Finance, Engineering, Computer Science or related * Minimum - 5 Years of Build, test, implement, or validate models ...

next page

Showing results 1-20

All JobsModel Validation Quant Jobs

Model Validation Quant information

See salary details

$22

$51

$78

How much do model validation quant jobs pay per hour?

As of Aug 2, 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 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.

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 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.
More about Model Validation Quant jobs
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 July 2026, with employment types broken down into 2% As Needed, 81% Full Time, 14% Part Time, 1% Temporary, and 2% Contract. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution, with an average salary of $108,152 per year, or $52 per hour.

Model Validation Manager

CLS Bank International

Manhattan, NY • On-site

Full-time

Re-posted 27 days ago

Job description

Essential Function / major duties and responsibilities of the job

•      Independently perform model validation according to MRM’s validation standards.

•      As part of validation, it may become necessary to independently code replications of the models used in production.

•      For models already independently replicated for MRM, the Model Validation Manager will need to run the MRM model and reconcile against production model runs.

•      Document this review and challenge in validation reports.

•      MRM is engaging a professional firm to perform a significant part of CLS’s model validation book of work. The Model Validation Manager will collaborate with this firm for the validation of certain models.

•      Communicate effectively with model owners/developers: In the course of validation to obtain clarification and to request specific data and production model outputs. Post validation to manage the finding lifecycle: Achieving agreement on validation findings and observations, including corrective action plans to remediate the findings, and reviewing model owner requests for finding closures.

•      Actively contribute to validation report / validation finding peer reviews, to ensure consistency in validation work across all validators.

Leadership

•      Apply soft skills to build consensus and stakeholder buy-in.

Experience / essential and desired for successful job performance

•      3+ years’ experience in model validation or model development at a regulated financial institution.

•      Knowledge of US Banking Regulations (Federal Reserve Board)

Qualifications / certifications

•      Minimum bachelor’s degree (master’s degree / Ph.D. preferred) with concentration in a quantitative discipline such as, engineering, econometrics, statistics, physics, mathematics etc.

•      3+ years’ experience of quantitative analysis in the financial services sector. Solid quantitative and qualitative risk assessment skills. Experience in model validation and/or model development preferred.

•      Team-oriented with a strong sense of ownership and accountability.

•      Strong verbal and written communication skills.

•      Extensive experience with numerical and statistical tools: e.g. Python, R, MATLAB, SAS, C++, Java.

•      Knowledge of regulatory guidance on model risk management and industry best practice.

•      Knowledge of capital market products, especially FX, a plus.

•      Understanding of settlement and clearing, and the differences is a plus.

Knowledge, skills and abilities / competencies required for successful job performance

·      Perform independent model validation, under the guidance of the Lead Model Validator.

·      Ability to write, review, critique, and improve long validation reports

·      Interact with model owners / model developers on all issues of model validation and subsequent actions, such as agreement on findings, finding remediation plans, finding closure reviews, etc.

·      Ability to code independent replications of production models, based on model documentation and, if required, further clarification directly obtained from model owners / model developers.

·      Participate in peer review of model validation reports.

Success factors / ‘How’. Personal characteristics contributing to an individual’s ability to excel in the position

·      Strong quantitative skills.

·      Excellent interpersonal communication skills, both written and verbal.

·      High ethical standards and a profound sense of integrity and confidentiality.

·      Challenging assumptions and maintaining independence and objectivity.

·      Build consensus, to influence both internal and external stakeholders.

·      Results oriented team player.

Apply