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Risk Model Validation Jobs (NOW HIRING)

Work closely within the Risk organization to validate accuracy and performance of all models, whether statistical/AI/ML or non-statistical to identify any issues requiring further investigation, and ...

Director, Model Validation

Manhattan, NY ยท On-site

$151 - $262/hr

Audit, Risk & Compliance Performs validation of models and assesses model risk to confirm model appropriateness and capability for a designated portfolio. Provides effective challenge during model ...

Regulatory & Financial Risk - Senior Manager - Model Validation Our Deloitte Regulatory, Risk & Forensic team helps client leaders translate multifaceted risk and an evolving regulatory environment ...

Director, Model Validation

New York, NY ยท Hybrid

$150K - $261K/yr

Audit, Risk & Compliance Performs validation of models and assesses model risk to confirm model appropriateness and capability for a designated portfolio. Provides effective challenge during model ...

Director, Model Validation

New York, NY ยท On-site

$150K - $261K/yr

Audit, Risk & Compliance Performs validation of models and assesses model risk to confirm model appropriateness and capability for a designated portfolio. Provides effective challenge during model ...

Work closely within the Risk organization to validate accuracy and performance of all models, whether statistical/AI/ML or non-statistical to identify any issues requiring further investigation, and ...

Work closely within the Risk organization to validate accuracy and performance of all models, whether statistical/AI/ML or non-statistical to identify any issues requiring further investigation, and ...

Work closely within the Risk organization to validate accuracy and performance of all models, whether statistical/AI/ML or non-statistical to identify any issues requiring further investigation, and ...

Work closely within the Risk organization to validate accuracy and performance of all models, whether statistical/AI/ML or non-statistical to identify any issues requiring further investigation, and ...

Work closely within the Risk organization to validate accuracy and performance of all models, whether statistical/AI/ML or non-statistical to identify any issues requiring further investigation, and ...

Work closely within the Risk organization to validate accuracy and performance of all models, whether statistical/AI/ML or non-statistical to identify any issues requiring further investigation, and ...

Work closely within the Risk organization to validate accuracy and performance of all models, whether statistical/AI/ML or non-statistical to identify any issues requiring further investigation, and ...

Work closely within the Risk organization to validate accuracy and performance of all models, whether statistical/AI/ML or non-statistical to identify any issues requiring further investigation, and ...

Work closely within the Risk organization to validate accuracy and performance of all models, whether statistical/AI/ML or non-statistical to identify any issues requiring further investigation, and ...

Showing results 21-40

Risk Model Validation information

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$22

$51

$78

How much do risk model validation jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for risk model validation 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 risk model validation?

Risk model validation is the process of assessing and ensuring that a financial or statistical risk model is accurate, reliable, and appropriate for its intended use. This typically involves reviewing the model's design, data inputs, assumptions, and performance against real-world outcomes. The goal is to identify any weaknesses, limitations, or errors in the model so that organizations can manage risks more effectively and comply with regulatory requirements. Risk model validators often use back-testing, stress testing, and benchmarking against industry standards as part of the validation process.

What are the key skills and qualifications needed to thrive in risk model validation?

To thrive in Risk Model Validation, you need a strong background in quantitative finance, statistics, and risk management, often supported by degrees in mathematics, finance, or related fields. Familiarity with programming languages (such as Python, R, or SAS), statistical modeling tools, and regulatory frameworks like Basel III is essential. Attention to detail, analytical thinking, and effective communication are important soft skills for articulating findings and collaborating with stakeholders. These skills ensure the accuracy and integrity of risk models, which are critical for informed decision-making and regulatory compliance in financial institutions.

What are some typical challenges faced in a risk model validation role, and how can candidates prepare for them?

Professionals in Risk Model Validation often encounter challenges such as staying current with evolving regulatory standards, managing large and complex datasets, and clearly communicating technical findings to non-technical stakeholders. To prepare, candidates should strengthen their understanding of regulatory frameworks (like SR 11-7 or Basel guidelines), develop strong quantitative and programming skills, and practice translating complex model results into actionable business insights. Being proactive in continuous learning and open collaboration with risk, audit, and business teams is also key for success in this dynamic field.

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

AspectRisk Model ValidationCredit Risk Analyst
Primary FocusAssessing the accuracy and robustness of risk modelsAnalyzing credit data to evaluate borrower risk
CertificationsFRM, CFA, or similarCFA, Credit Certifications
Work EnvironmentQuantitative, model development teamsCredit departments, lending teams
Industry UsageFinancial institutions, risk management firmsBanks, lending institutions

Risk Model Validation primarily focuses on testing and validating risk models to ensure their accuracy, while Credit Risk Analysts evaluate individual credit data to assess borrower risk. Both roles require quantitative skills and relevant certifications but differ in their specific responsibilities and work environments.

More about Risk Model Validation jobs
Infographic showing various Risk Model Validation job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $108,152 per year, or $52 per hour.

Director, Model Validation

Hispanic Alliance for Career Enhancement

Manhattan, NY โ€ข On-site

$150.70 - $261.80/hr

Other

Medical, Life, Retirement

Posted 15 days ago


Job description

Application Deadline: 08/25/2026

Address: 151 W 42nd Street

Job Family Group: Audit, Risk & Compliance

Performs validation of models and assesses model risk to confirm model appropriateness and capability for a designated portfolio. Provides effective challenge during model development and communicates decisions regarding model use to the business/management to ensure transparency and understanding of models and model risks. Assesses model's capabilities, stress points and limitations; assesses the associated model risk and the controls in place to mitigate identified risks.

Teams and Culture
  • Fosters a culture aligned to BMO purpose, values and strategy and role models BMO values and behaviours in all that they do.
  • Ensures alignment between values and behaviour that fosters diversity and inclusion.
  • Regularly connects work to BMO's purpose, sets inspirational goals, defines clear expected outcomes, and ensures clear accountability for follow through.
  • Builds interdependent teams that collaborate across functional and operating groups to create the highest value for all stakeholders.
  • Improves team performance, recognizes and rewards performance, coaches employees, supports their development, and manages poor performance.
Key Responsibilities
  • Develops validation strategies and plans to ensure appropriate type and level of validation of models is carried out.
  • Independently validates / tests models and their associated assumptions, benchmarks, and supporting documentation against model validation process, standards, guidelines and principles, which includes:
    • Lead model validation efforts across various volatility regimes, including stochastic volatility, stochastic-local volatility, and jumpโ€‘diffusion frameworks.
    • Develop, enhance, and maintain independent benchmark models for exotic derivatives (e.g., autocallables, barriers, quantos, range accrual, variance products, hybrids).
    • Analyze complex payoff structures and produce accurate pricing, Greeks, and scenario analyses.
    • Review and validate model calibration routines to vol surfaces, correlation structures, and multiโ€‘asset dynamics, and assess the data for model development as well as inputs to the model;
    • Design and implement scalable testing libraries using C++, Python, or similar highโ€‘performance languages.
    • Compares validation results with model developer results for replicability.
    • Measures the effectiveness of validation and monitoring framework; recommends changes as required.
    • Identifies deficiencies, conditions for model use, recommends changes, and escalates as required; quantifies model risks, documents outcomes and communicates with stakeholders. (detailed work)
    • Identifies where corrective actions are required and escalates per guidelines; monitors and ensures corrective action is taken.
  • Optimize numerical methods (e.g., PDE solvers, Monte Carlo engines, adjoint methods) to improve performance and stability.
  • Coordinates and monitors the review and sign-off of model validation reporting including model inventory and model inventory attestations.
  • Mentor junior quants and contribute to longโ€‘term quantitative research initiatives.
  • Collaborate closely with trading desks to deliver strategic analytics, improve risk metrics, and support trade ideation.
  • Provides technical advice and guidance to assigned business/group on implementation of the model validation framework, and resolution of model risk issues.
  • Makes recommendations to senior leaders on strategy and new initiatives, based on an inโ€‘depth understanding of the business/group.
  • Represents the model validation program / portfolio for internal/external regulatory audits and/or examinations.
Qualifications
  • Advanced degree (PhD or Master's) in quantitative fields such as mathematics, financial engineering, physics, or computer science.
  • 15+ years of handsโ€‘on experience in equity derivatives model validation or frontโ€‘office quantitative research.
  • Deep knowledge of stochastic calculus, probability theory, and numerical analysis.
  • Strong programming skills in C++ and Python; experience with distributed computing a plus.
  • Verbal & written communication skills - Inโ€‘depth / Expert.
  • Analytical and problem solving skills - Inโ€‘depth / Expert.
  • Familiarity with regulatory frameworks (e.g., FRTB, model risk governance) in a derivatives context.
Salary

$150,700.00 - $261,800.00

Pay Type: Salaried

The above represents BMO Financial Group's pay range and type.

Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for partโ€‘time roles will be proโ€‘rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group's expected target for the first year in this position.

BMO Financial Group's total compensation package will vary based on the pay type of the position and may include performanceโ€‘based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

About Us

At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one - for yourself and our customers. We'll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From inโ€‘depth training and coaching, to manager support and networkโ€‘building opportunities, we'll help you gain valuable experience, and broaden your skillset.

To find out more visit us at http://jobs.bmo.com/us/en

BMO is proud to be an equal employment opportunity employer. We evaluate applicants without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other legally protected characteristics. We also consider applicants with criminal histories, consistent with applicable federal, state and local law.

BMO is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an eโ€‘mail to BMOCareers.Support@bmo.com and let us know the nature of your request and your contact information.

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