ZipRecruiter

Log In

1

Quantitative Risk Analyst Jobs in New Jersey (NOW HIRING)

Bank of America

Sr. Quantitative Finance Analyst

Newark, NJ · On-site

$89K - $111K/yr

Performs end-to-end market risk stress testing including scenario design, scenario implementation ... GRA is a quantitative organization which delivers models, tools, and analysis needed to effectively ...

Jay Analytix

Quantitative Developer

Jersey City, NJ · Hybrid

Quantitative Developer Location: New Jersey, Jersey City, USA - Hybrid Employment Type: Contract ... Build libraries and tools for portfolio analytics, valuation, and risk measurement. * Work closely ...

Jay Analytix Inc

Quantitative Developer

Jersey City, NJ · On-site

Quantitative Developer Location: New Jersey, Jersey City, USA - Hybrid Employment Type: Contract ... Build libraries and tools for portfolio analytics, valuation, and risk measurement. * Work closely ...

previous page

Showing results 41-60

All JobsQuantitative Risk Analyst JobsQuantitative Risk Analyst Jobs in New Jersey

Quantitative Risk Analyst information

See New Jersey salary details

$57.4K

$135.9K

$243.7K

How much do quantitative risk analyst jobs pay per year?

As of Aug 8, 2026, the average yearly pay for quantitative risk analyst in New Jersey is $135,917.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,200.00 and $147,700.00 per year, depending on experience, location, and employer.

What are some common challenges a quantitative risk analyst faces when integrating new data sources into risk models?

Quantitative Risk Analysts often encounter challenges related to data quality, consistency, and compatibility when integrating new data sources into risk models. Ensuring that the data is accurate, timely, and relevant requires rigorous validation and sometimes complex data cleaning processes. Additionally, analysts must adapt existing risk models to accommodate new variables, which may involve re-calibrating parameters or even restructuring parts of the model. Effective collaboration with IT and data engineering teams is essential to streamline data integration and maintain model reliability.

What are the key skills and qualifications needed to thrive as a quantitative risk analyst?

To thrive as a Quantitative Risk Analyst, you need strong analytical and mathematical skills, experience with statistical modeling, and typically a degree in finance, mathematics, statistics, or a related field. Proficiency in programming languages such as Python, R, or MATLAB, and familiarity with risk management systems and financial databases are important technical requirements. Attention to detail, problem-solving abilities, and effective communication are vital soft skills for explaining complex analyses to stakeholders. These skills are crucial for accurately identifying, measuring, and mitigating financial risks in dynamic market environments.

What is the difference between Quantitative Risk Analyst vs Credit Risk Analyst?

AspectQuantitative Risk AnalystCredit Risk Analyst
Required CredentialsDegree in finance, economics, or mathematics; certifications like FRM or CFADegree in finance, economics, or related; certifications like FRM or CFA often preferred
Work EnvironmentFinancial institutions, investment firms, risk management departmentsBanks, lending institutions, credit agencies
Employer & Industry UsageUsed across finance sectors for risk modeling and analysisPrimarily in banking and lending for assessing creditworthiness
Comparison Search IntentUnderstanding differences in risk analysis rolesDistinguishing credit-specific risk roles from broader risk analysis

While both roles involve risk assessment and require similar credentials, a Quantitative Risk Analyst focuses on modeling and analyzing various financial risks using quantitative methods across multiple risk types. In contrast, a Credit Risk Analyst specializes in evaluating creditworthiness and managing credit risk specifically within lending and banking sectors.

What is a quantitative risk analyst?

A Quantitative Risk Analyst is a professional who uses mathematical models, statistical techniques, and data analysis to assess and manage financial risks within an organization. They typically evaluate potential losses from market movements, credit defaults, or operational failures and help develop strategies to mitigate those risks. Their work is crucial in industries such as banking, investment, insurance, and asset management, where understanding and controlling risk is essential for financial stability and compliance. Quantitative Risk Analysts often work with complex financial instruments and large datasets, requiring strong analytical and programming skills.
What are popular job titles related to Quantitative Risk Analyst jobs in New Jersey? For Quantitative Risk Analyst jobs in New Jersey, the most frequently searched job titles are:
What job categories do people searching Quantitative Risk Analyst jobs in New Jersey look for? The top searched job categories for Quantitative Risk Analyst jobs in New Jersey are:
What cities in New Jersey are hiring for Quantitative Risk Analyst jobs? Cities in New Jersey with the most Quantitative Risk Analyst job openings:
Quantitative Risk Analyst jobs near you
Infographic showing various Quantitative Risk Analyst job openings in New Jersey as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 8% Part Time, and 3% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $135,917 per year, or $65.3 per hour.

Quantitative Analyst: Electricity Markets

PJM Interconnection

Audubon, NJ • On-site

Full-time

Posted 17 days ago

Job description

Quantitative Analyst: Electricity Markets (Audubon, PA): Evaluate, analyze, and monitor wholesale electricity market conditions across PJM of 13 US states and other U.S. ISO/RTO regions to support market operations and system coordination. Develop and apply quantitative models to analyze current electricity and fuel prices, forward price expectations, and market dynamics. Perform statistical and data-driven analysis to assess transmission constraints, congestion patterns, and interregional power flows. Build, maintain, and enhance analytical tools, databases, and dashboards to support market monitoring, risk assessment, and forward-looking insights. Prepare and present analytical reports and market assessments to internal and external stakeholders. Master’s degree in data science or closely related field and 2 years of experience in electricity market analysis. Experience must include quantitative modeling and statistical analysis, Monte Carlo Simulations, power dispatch modeling using, PSS/E, Plexos and Dayzer, Python and SQL.

Apply