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Quantitative Model Validation Analyst Jobs in Secaucus, NJ

Jay Analytix

Quantitative Developer

Jersey City, NJ · Hybrid

Validate financial models and ensure the accuracy of calculations. * Contribute to the ongoing improvement of analytics infrastructure and code quality. Required Skills Quantitative & Finance (Core ...

Jay Analytix Inc

Quantitative Developer

New York, NY · On-site

Validate financial models and ensure the accuracy of calculations. * Contribute to the ongoing improvement of analytics infrastructure and code quality. Required Skills Quantitative & Finance (Core ...

Jay Analytix

Quantitative Developer

Manhattan, NY · On-site

$125 - $150/hr

Validate financial models and ensure the accuracy of calculations. * Contribute to the ongoing improvement of analytics infrastructure and code quality. Required Skills Quantitative & Finance (Core ...

Jay Analytix

Quantitative Developer

Jersey City, NJ · On-site

Validate financial models and ensure the accuracy of calculations. * Contribute to the ongoing improvement of analytics infrastructure and code quality. Required Skills Quantitative & Finance (Core ...

Jay Analytix Inc

Quantitative Developer

Jersey City, NJ · On-site

Validate financial models and ensure the accuracy of calculations. * Contribute to the ongoing improvement of analytics infrastructure and code quality. Required Skills Quantitative & Finance (Core ...

Jay Analytix INC.

Quantitative Developer

Manhattan, NY · On-site

$125 - $150/hr

Validate financial models and ensure the accuracy of calculations. * Contribute to the ongoing improvement of analytics infrastructure and code quality. Required Skills Quantitative & Finance (Core ...

Jay Analytix INC.

Quantitative Developer

Jersey City, NJ · On-site

$125 - $150/hr

Validate financial models and ensure the accuracy of calculations. * Contribute to the ongoing improvement of analytics infrastructure and code quality. Required Skills Quantitative & Finance (Core ...

Jay Analytix

Quantitative Developer

New York, NY · Hybrid

Validate financial models and ensure the accuracy of calculations. * Contribute to the ongoing improvement of analytics infrastructure and code quality. Required Skills Quantitative & Finance (Core ...

Citi

Model/Anlys/Valid Officer

New York, NY · On-site

$225K - $250K/yr

... the quantitative models used for pricing and risk for the Muni Derivatives business and Spread ... for model validation and implement the necessary tests for the ongoing performance analysis ...

Jay Analytix

Quantitative Developer

New York, NY · On-site

Validate financial models and ensure the accuracy of calculations. * Contribute to the ongoing improvement of analytics infrastructure and code quality. Required Skills Quantitative & Finance (Core ...

Jay Analytix

Quantitative Developer

Jersey City, NJ · On-site

$125 - $150/hr

Validate financial models and ensure the accuracy of calculations. * Contribute to the ongoing improvement of analytics infrastructure and code quality. Required Skills Quantitative & Finance (Core ...

Deloitte

Model Validation Consultant

New York, NY · On-site

... error analysis, and scenario-based evaluation. * Support validation of GenAI and Agentic AI ... Contribute to automated processes for model validation, monitoring, and reporting, including test ...

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Showing results 21-40

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 Developer

Jay Analytix

Jersey City, NJ • Hybrid

Contractor

Re-posted 22 days ago

Job description

Quantitative Developer

Location: New Jersey, Jersey City, USA - Hybrid Employment Type: Contract

About the Role

We are seeking a Quantitative Developer with strong expertise in quantitative finance and advanced proficiency in Python. This role focuses on building and implementing financial models, analytics, and pricing systems used by trading and risk teams. You will work at the intersection of finance and technology, translating sophisticated quantitative models into robust, production-quality code that directly supports trading and risk management decisions.

The ideal candidate brings deep capital markets domain knowledge, strong engineering discipline, and the ability to collaborate closely with quants and traders in a fast-paced, hybrid environment.

Key Responsibilities
  • Develop and implement pricing and risk models for derivative products.
  • Translate quantitative models (e.g., Black-Scholes) into production-quality Python code.
  • Build libraries and tools for portfolio analytics, valuation, and risk measurement.
  • Work closely with quants and traders to refine models and strategies.
  • Perform backtesting and simulation of trading strategies.
  • Validate financial models and ensure the accuracy of calculations.
  • Contribute to the ongoing improvement of analytics infrastructure and code quality.
Required Skills

Quantitative & Finance (Core Focus)

  • Minimum 7 years of experience in a quantitative development or related role.
  • Capital markets domain experience is mandatory.
  • Strong understanding of derivatives, fixed income, and capital markets.
  • Solid grounding in probability, stochastic processes, and statistics.
  • Hands-on experience with pricing models, risk metrics, and financial data.

Technical

  • Advanced Python, including NumPy, Pandas, and SciPy.
  • Strong experience with data analysis and numerical computing.
  • Familiarity with SQL and data handling.
Nice to Have
  • Exposure to C++ for performance optimization.
  • Experience working with quantitative research or trading desks.
  • Familiarity with model validation practices and regulatory expectations.
What We Offer
  • A hybrid work arrangement across major financial hubs in Canada and the USA.
  • The opportunity to work on high-impact pricing and risk systems used by trading and risk teams.
  • A collaborative environment that bridges quantitative finance and software engineering.
How to Apply

Qualified candidates are encouraged to submit a resume outlining relevant experience, including capital markets domain expertise and quantitative development work. We thank all applicants for their interest; only those selected for an interview will be contacted.

Employment Type: CONTRACTOR

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