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Model Validation Jobs in New York (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 Description & Requirements Model Validation Expert (Second Line of Defense) Position Overview The ...

Deloitte

Model Validation Consultant

New York, NY · On-site

Work you'll do As a Model Validation Consultant within Regulatory & Financial Risk, you will support model validation work for AI, Generative AI (GenAI), and Agentic AI solutions across client ...

Bloomberg

Model Validation Expert

Manhattan, NY · On-site

About the Role We're looking for a Model Validation Expert to lead independent validation of Bloomberg's ESG Scoring and analytics models. Sitting within the Chief Risk Office as second line of ...

DTCC

Model Validation Senior Associate

Jersey City, NJ · On-site

The Model Validation team is also responsible for evaluating the Model Performance Monitoring Plan for each model, and continuously assessing the results to ensure that models are performing as ...

Deloitte

Model Validation Senior Manager

New York, NY · On-site

Validate model performance and stability using appropriate methods (for example: benchmarking, back-testing where applicable, sensitivity and stress testing, error analysis, and scenario-based ...

CLS Bank International

Model Validator

Manhattan, NY

Operational • Conduct model validation activities based on internal MRM policy and procedures. • Conduct and perform quality assurance for model risk reporting. • Communicate effectively with ...

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How much do model validation jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for model validation in New York is $56.89, according to ZipRecruiter salary data. Most workers in this role earn between $43.12 and $69.18 per hour, depending on experience, location, and employer.

What is a model validation?

A Model Validation job involves assessing and verifying the accuracy, reliability, and performance of mathematical and statistical models used in finance, risk management, or other industries. Professionals in this role conduct independent testing, evaluate assumptions, and ensure models comply with regulatory and internal standards. They identify weaknesses, suggest improvements, and help mitigate potential risks associated with model usage. Model validators often work with machine learning models, credit risk models, or trading algorithms, depending on the industry.

What are the key skills and qualifications needed to thrive in the model validation position, and why are they important?

To thrive as a Model Validation professional, you need strong quantitative, statistical, and analytical skills, often supported by a degree in mathematics, statistics, finance, or a related field. Proficiency with programming languages such as Python or R, statistical modeling software, and familiarity with regulatory guidelines like SR 11-7 or CCAR is essential. Outstanding attention to detail, problem-solving abilities, and clear communication are valuable soft skills in this role. These competencies are crucial for rigorously assessing complex models, documenting findings, and collaborating effectively with model developers and risk management teams.

What are some common challenges faced by professionals in model validation roles?

One common challenge in Model Validation is staying up-to-date with evolving regulatory requirements and industry best practices, which can impact how models should be tested and documented. Model validators often work with highly complex financial or risk models, requiring strong analytical skills to assess underlying assumptions and potential risks. Additionally, balancing the need for thoroughness with tight deadlines and collaborating with model developers to address issues can be demanding. However, overcoming these challenges offers valuable opportunities to build expertise, work cross-functionally, and play a critical role in ensuring the integrity and reliability of key business decisions.

What are the most commonly searched types of Model Validation jobs in New York?

The most popular types of Model Validation jobs in New York are:

What are popular job titles related to Model Validation jobs in New York?

For Model Validation jobs in New York, the most frequently searched job titles are:

What job categories do people searching Model Validation jobs in New York look for?

The top searched job categories for Model Validation jobs in New York are:

What cities in New York are hiring for Model Validation jobs?

Cities in New York with the most Model Validation job openings:

Model Validation jobs near you
Infographic showing various Model Validation job openings in New York as of September 2026, with employment types broken down into 2% As Needed, 86% Full Time, 10% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $118,322 per year, or $56.9 per hour.

Model Validation Manager

Manhattan, NY

CLS Bank International
See more jobs at CLS Bank Internationalexternal

Full-time

Re-posted 8 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.

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