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Credit Risk Model Validation Jobs in Manhattan, NY

Director of Credit Risk

Manhattan, NY · On-site

$160K - $190K/yr

Responsibilities Credit Decisioning Model Development * Develop and implement advanced credit risk models (rule-based, heuristic, and machine learning) to support underwriting and portfolio ...

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 ...

Sitting within the Chief Risk Office as second line of defense, you will play a critical role in executing independent model validation and strengthening the firm's Model and Methodology Risk ...

Director, Model Validation

New York, NY · 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 ...

Credit Risk Associate

New York, NY · On-site

$108K - $200K/yr

Own credit risk strategy for areas like model prototyping, credit limits, payment speed, collections, etc. * Use SQL, quantitative reasoning, and credit risk judgment to investigate patterns, size ...

New

Showing results 41-60

Credit Risk Model Validation information

See Manhattan, NY salary details

$40.8K

$125.7K

$218K

How much do credit risk model validation jobs pay per year?

As of Aug 16, 2026, the average yearly pay for credit risk model validation in Manhattan, NY is $125,682.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,000.00 and $155,100.00 per year, depending on experience, location, and employer.

What is credit risk model validation?

Credit risk model validation is the process of ensuring that models used to assess the creditworthiness of borrowers are accurate, reliable, and compliant with regulatory standards. This involves independent review and testing of the model's design, data, assumptions, and performance. The goal is to identify any weaknesses or limitations that could affect the model's ability to predict credit risk, reduce financial losses, and maintain regulatory compliance. Model validation is typically performed by specialists who are not involved in the model's development to ensure objectivity.

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

Professionals in Credit Risk Model Validation often encounter challenges such as staying up-to-date with evolving regulatory requirements and ensuring models remain compliant. They must also navigate the complexities of validating models that use advanced statistical techniques or machine learning, which requires both technical expertise and a thorough understanding of the underlying business context. Additionally, clear communication with stakeholders—like model developers, auditors, and risk managers—is essential to address findings and recommend improvements effectively. Managing tight deadlines and balancing multiple validation projects simultaneously can also be demanding.

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

To thrive in Credit Risk Model Validation, you need a strong background in quantitative finance, statistics, and risk management, usually supported by a relevant degree such as in mathematics, finance, or engineering. Familiarity with statistical programming languages (such as Python, R, or SAS), model validation frameworks, and regulatory guidelines like Basel accords is crucial. Attention to detail, critical thinking, and clear communication skills help you effectively analyze models and convey complex findings to stakeholders. These competencies are vital for ensuring accurate risk assessment, regulatory compliance, and the robustness of financial institutions' credit risk models.

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

AspectCredit Risk Model ValidationCredit Risk Analyst
Primary FocusAssessing and validating the accuracy of credit risk modelsAnalyzing credit data to assess borrower risk and support lending decisions
Skills & CertificationsStatistical, quantitative skills; certifications like FRM or CFA often preferredFinancial analysis skills; relevant certifications like CFA or credit-specific training
Work EnvironmentQuantitative teams within risk management or model validation unitsCredit departments, lending teams, or risk management units

While both roles involve credit risk, Credit Risk Model Validation focuses on testing and validating models' accuracy, whereas Credit Risk Analysts evaluate individual creditworthiness to inform lending decisions. The validation role is more technical and model-focused, while analysts work directly with credit data and client assessments.

What are popular job titles related to Credit Risk Model Validation jobs in Manhattan, NY?

For Credit Risk Model Validation jobs in Manhattan, NY, the most frequently searched job titles are:

What job categories do people searching Credit Risk Model Validation jobs in Manhattan, NY look for?

The top searched job categories for Credit Risk Model Validation jobs in Manhattan, NY are:

Infographic showing various Credit Risk Model Validation job openings in Manhattan, NY as of August 2026, with employment types broken down into 2% As Needed, 80% Full Time, 15% Part Time, and 3% Contract. Highlights an 88% Physical, 5% Hybrid, and 7% Remote job distribution, with an average salary of $125,682 per year, or $60.4 per hour.

Director, Model Validation

NCSL International

Manhattan, NY • On-site

$151 - $262/hr

Other

Medical, Life, Retirement

Posted 11 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 jump‑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 multi‑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 high‑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 long‑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 in‑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 hands‑on experience in equity derivatives model validation or front‑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 - In‑depth / Expert.
  • Analytical and problem solving skills - In‑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 part‑time roles will be pro‑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 performance‑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 in‑depth training and coaching, to manager support and network‑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 e‑mail to BMOCareers.Support@bmo.com and let us know the nature of your request and your contact information.

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