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Quantitative Model Validation Analyst Jobs in Ridgewood, NJ

BMO Financial

Director, Model Validation

Manhattan, NY · Hybrid

$150K - $261K/yr

Analyze complex payoff structures and produce accurate pricing, Greeks, and scenario analyses ... Mentor junior quants and contribute to long‑term quantitative research initiatives. * Collaborate ...

Bank of Montreal

Director, Model Validation

New York, NY · On-site

$150K - $261K/yr

Analyze complex payoff structures and produce accurate pricing, Greeks, and scenario analyses ... Mentor junior quants and contribute to long-term quantitative research initiatives. * Collaborate ...

Barclays

Model Validation AVP - Treasury

New York, NY · On-site

Validation of models for their intended use and scope, commensurate with the complexity and ... The position requires quantitative modeling skills, statistical analysis, and programming expertise ...

Barclays

Model Validation AVP

New York, NY · On-site

Engage in complex analysis of data from multiple sources of information, internal and external ... Understanding of quantitative techniques and statistical models * Knowledge of financial crime, AML ...

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Quantitative Model Validation Analyst information

See Ridgewood, NJ salary details

$57.2K

$135.5K

$242.8K

How much do quantitative model validation analyst jobs pay per year?

As of Jun 6, 2026, the average yearly pay for quantitative model validation analyst in Ridgewood, NJ is $135,455.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,800.00 and $147,200.00 per year, depending on experience, location, and employer.

What are Quantitative Model Validation Analysts?

Quantitative Model Validation Analysts are professionals who assess and validate financial models used by banks and financial institutions. They ensure that these models are accurate, reliable, and comply with regulatory standards. Their work involves testing model assumptions, reviewing model methodologies, and analyzing model outputs to identify potential risks or weaknesses. By providing an independent review, they help organizations maintain the integrity and performance of their risk management and financial forecasting tools.

What are some typical challenges faced by Quantitative Model Validation Analysts when assessing complex financial models?

Quantitative Model Validation Analysts often encounter challenges such as interpreting intricate model methodologies, ensuring data integrity, and effectively communicating technical findings to stakeholders who may not have a quantitative background. Additionally, staying current with evolving regulatory requirements and industry standards can be demanding. Collaborating closely with model developers, risk managers, and auditors is crucial to address model limitations and propose actionable improvements, making strong communication and analytical skills essential for success in this role.

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

AspectQuantitative Model Validation AnalystQuantitative Risk Analyst
CredentialsTypically requires a degree in finance, mathematics, or statistics; certifications like CFA or FRM are commonSimilar credentials; often holds CFA, FRM, or related certifications
Work EnvironmentFocuses on validating models used in risk management, trading, or credit scoring within financial institutionsAnalyzes and manages financial risk, including market, credit, and operational risks in banking or investment firms
Industry UsageCommonly employed in banking, asset management, and insurance sectorsWidely used in banking, hedge funds, and financial services

The main difference is that Quantitative Model Validation Analysts focus on testing and validating models to ensure accuracy and compliance, while Quantitative Risk Analysts assess and manage overall financial risks. Both roles require strong quantitative skills and often overlap in credentials and work environments, but their core responsibilities differ in scope and focus.

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

To thrive as a Quantitative Model Validation Analyst, you need a strong background in quantitative finance, statistics, and programming, typically supported by a degree in mathematics, finance, or a related field. Familiarity with statistical software such as Python, R, MATLAB, and model risk management frameworks is essential, and certifications like FRM or CFA are advantageous. Analytical thinking, attention to detail, and effective communication skills set top performers apart by enabling them to explain complex model risks and recommendations clearly. These skills and qualities are vital for ensuring the accuracy, reliability, and regulatory compliance of financial models within an organization.
What cities near Ridgewood, NJ are hiring for Quantitative Model Validation Analyst jobs? Cities near Ridgewood, NJ with the most Quantitative Model Validation Analyst job openings:
Quantitative Model Validation Analyst jobs near you
Quantitative Model Data structure Engineer

Quantitative Model Data structure Engineer

Javen Technologies, Inc

Manhattan, NY • Hybrid

Other

Posted 2 days ago

Job description

Seeking a Quantitative Model Validation Engineer  for immediate hybrid contract role with my direct client  in Buffalo NY or Newyork city ,NY.

If interested , share your word document resume, work authorization, expected hourly pay rate,  current location, availability for hybrid  work  , skill stack and LinkedIn.

Reach me for more details. thanks.

If not, Appreciate any referrals.

Manager looking for more candidates to schedule interviews

The main gap is a lack of deeper exposure to financial instrument valuation and limited evidence of familiarity with pricing models such as BlackScholes, Dupire, SABR, or Heston.

- Quantitative Model Validation Engineer
Location: Buffalo, NY -/New york city NY  hybrid min. 3 days/week at the office
Interview process - 3 rounds
Role Purpose
The Model Validation team is responsible for independently validating and monitoring cross-asset models and analytics delivered by LSEG to its clients.
Essential Skills and Qualifications
• 5+ years Solid understanding of quantitative models and methodologies, with the ability to critically assess and validate them.
• Strong proficiency in Python (good development practices) and experience with key data structures and libraries.
• Knowledge of financial markets, products, and pricing frameworks.
• Strong problem solving skills and the ability to work on sophisticated model related challenges.
Key Responsibilities
• Design and implement validation framework to assess the performance of analytics produced by client quantitative Libraries.
• Perform in depth validation of quantitative models and evaluate them using relevant performance metrics.
• Design and implement a technical solution to validate and monitor financial models
• Develop an understanding of the quantitative library and its key components.
• Produce clear, well structured validation reports and present findings to internal collaborators.
• Define model testing strategies and document model methodologies and assumptions.
• Contribute to build and maintain the automated tests framework.
• Apply strong knowledge of financial markets, including pricing conventions, valuation assumptions.
• Deliver high quality insights and support with a strong customer focused mindset.
• Solve complex analytical and technical problems with a high degree of independence.

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