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Quantitative Model Validation Analyst Jobs in Secaucus, NJ

Valley Bank

Quantitative Business Analyst

Morristown, NJ · On-site

$134K/yr

Serve as liaison between stress testing, model validation, and business lines. Maintain model ... Also requires 1 yr of experience (can be gained concurrently) with: quantitative financial analysis ...

Bloomberg

Quant Analyst - Market Risk

Manhattan, NY · On-site

$200 - $250/hr

... Model Validation, Engineering, and Product Manager partners. The QMLRA group has an open position in New York for an experienced Market Risk quantitative analyst to support our growing client ...

Bloomberg LP

Quant Analyst - Market Risk

New York, NY · On-site

... Model Validation, Engineering, and Product Manager partners. The QMLRA group has an open position in New York for an experienced Market Risk quantitative analyst to support our growing client ...

Citi

Mortgage Quantitative Analyst, VP

New York, NY · On-site

$175K - $250K/yr

Lead the development, implementation, and validation of sophisticated models to price and assess ... Quantitative Analysis ----- Time Type: Full time ----- Primary Location: New York New York United ...

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All JobsQuantitative Model Validation Analyst JobsQuantitative Model Validation Analyst Jobs in Secaucus, NJ

Quantitative Model Validation Analyst information

See Secaucus, NJ salary details

$57.4K

$136.1K

$244K

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

As of Sep 7, 2026, the average yearly pay for quantitative model validation analyst in Secaucus, NJ is $136,111.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,400.00 and $147,900.00 per year, depending on experience, location, and employer.

What is a quantitative model validation analyst?

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 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 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 popular job titles related to Quantitative Model Validation Analyst jobs in Secaucus, NJ?

For Quantitative Model Validation Analyst jobs in Secaucus, NJ, the most frequently searched job titles are:

What job categories do people searching Quantitative Model Validation Analyst jobs in Secaucus, NJ look for?

The top searched job categories for Quantitative Model Validation Analyst jobs in Secaucus, NJ are:

What cities near Secaucus, NJ are hiring for Quantitative Model Validation Analyst jobs?

Cities near Secaucus, NJ with the most Quantitative Model Validation Analyst job openings:

Quantitative Model Validation Analyst jobs near you
Infographic showing various Quantitative Model Validation Analyst job openings in Secaucus, NJ as of July 2026, with employment types broken down into 2% Internship, 76% Full Time, 12% Part Time, and 10% Contract. Highlights an 94% In-person, 2% Hybrid, and 4% Remote job distribution, with an average salary of $136,111 per year, or $65.4 per hour.

Quantitative Analyst - US

Stradit LLC

Jersey City, NJ • On-site

$150 - $200/hr

Other

Re-posted 7 days ago

Job description

Qualifications and Responsibilities

5+ years of working experience and must have 3+ years of hands‑on experience in quantitative models, research, with deep understanding in fixed income and/or market risk.

  • Fluent in at least one high level programming language (Python, C++, Java, etc.). Familiarity with SQL is a plus.
  • Knowledge of treasury securities and/or mortgage‑backed securities pricing and VaR modeling a big plus
  • Strong analytical and problem‑solving skills
  • Excellent communication skills, both oral and written
  • Maintain and enhance in‑house fixed income risk models
  • Design and produce model performance metrics and reports to support communications with both internal model users and external supervisors
  • Independently format and validate analysis results to ensure quality
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