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Quantitative Risk Jobs in New Jersey (NOW HIRING)

StradIT

Quantitative Analyst

Jersey City, NJ · On-site

Primary Responsibilities: • Maintain and enhance in-house fixed income risk models • Design and ... quantitative models, research, with deep understanding in fixed income and/or market risk. • ...

Td

Senior Quantitative Analyst (US)

Mount Laurel, NJ · On-site

$76K - $114K/yr

Risk Management Department Overview: Model Risk Management supports the effective oversight of ... The Senior Quantitative Analyst provides the quantitative analysis and builds the advanced ...

DTCC

Market Risk Associate

Jersey City, NJ · On-site

Collaborates with cross functional teams including Counterparty Credit Risk, Liquidity Risk, Operations, Quantitative Risk, Relationship Management to bolster risk management practices. * Educate ...

StradIT

Quantitative Analyst - US

Jersey City, NJ · On-site

• 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 ...

StradIT

Quantitative Analyst - US

Jersey City, NJ · On-site

* 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 ...

StradIT

Quantitative Analyst - US

Jersey City, NJ · On-site

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 ...

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Quantitative Risk information

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$31.5K

$92K

$148.2K

How much do quantitative risk jobs pay per year?

As of Sep 3, 2026, the average yearly pay for quantitative risk in New Jersey is $91,959.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,500.00 and $120,800.00 per year, depending on experience, location, and employer.

What is a quantitative risk analyst?

A Quantitative Risk Analyst is a finance professional who uses mathematical models and statistical techniques to assess and manage financial risks for organizations, particularly in banking, investment, and insurance sectors. They analyze data, develop risk models, and help companies make informed decisions to minimize potential losses. Their work involves programming, data analysis, and communicating complex risk scenarios to stakeholders. Quantitative Risk Analysts play a crucial role in ensuring that organizations remain financially stable and compliant with regulatory requirements.

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

To thrive as a Quantitative Risk Analyst, you need strong analytical skills, expertise in statistics and mathematics, and a relevant degree such as finance, mathematics, or engineering. Familiarity with statistical software (such as R, Python, or SAS), risk modeling tools, and industry certifications like FRM or CFA is highly valued. Excellent problem-solving abilities, attention to detail, and effective communication skills help you interpret complex data and convey insights to stakeholders. These competencies are crucial for accurately assessing risk, supporting strategic decisions, and ensuring the financial stability of organizations.

How do quantitative risk professionals typically collaborate with other departments within a financial institution?

Quantitative Risk professionals frequently work with various teams such as trading, portfolio management, compliance, and IT. This collaboration helps ensure that risk models accurately reflect real-world exposures and regulatory standards. Effective communication is key, as Quantitative Risk staff must translate complex data and models into actionable insights for non-technical stakeholders. Regular cross-departmental meetings and project-based collaborations are common, promoting a dynamic and integrated work environment.

What is the difference between Quantitative Risk vs Quantitative Analyst?

AspectQuantitative RiskQuantitative Analyst
Primary FocusAssessing and managing financial risks using quantitative methodsDeveloping models and strategies to analyze financial data and inform investment decisions
Required CredentialsOften requires risk management certifications (FRM, PRM), advanced degrees in finance, mathematics, or statisticsTypically requires degrees in finance, economics, mathematics, or related fields; certifications like CFA may be common
Work EnvironmentFinancial institutions, risk management departments, banksInvestment firms, hedge funds, banks, financial services companies

Quantitative Risk professionals focus on identifying and mitigating financial risks through specialized models, while Quantitative Analysts develop analytical models to support trading, investment, and financial decision-making. Both roles require strong quantitative skills and often similar educational backgrounds, but their core objectives differ: risk management versus financial analysis and strategy development.

How hard is it to become a quantitative risk?

Becoming a quantitative risk professional typically requires a strong background in mathematics, statistics, or finance, often supported by a relevant degree such as a master's or Ph.D. in a quantitative field. Developing skills in programming languages like Python or R and understanding financial models are also important, and obtaining certifications such as FRM or CFA can enhance job prospects. The role demands analytical ability, attention to detail, and the capacity to work with complex data sets, making it a challenging but attainable career path for those with the right skills and education.

How much do quantitative risk analysts make?

Quantitative risk analysts typically earn a median annual salary of around $80,000 to $120,000, depending on experience, education, and location. Senior analysts or those in high-demand financial centers can earn over $150,000, often supplemented by bonuses and benefits. Strong skills in statistics, programming, and risk modeling tools are essential for higher compensation.

What are the most commonly searched types of Quantitative Risk jobs in New Jersey?

The most popular types of Quantitative Risk jobs in New Jersey are:

What are popular job titles related to Quantitative Risk jobs in New Jersey?

For Quantitative Risk jobs in New Jersey, the most frequently searched job titles are:

What job categories do people searching Quantitative Risk jobs in New Jersey look for?

The top searched job categories for Quantitative Risk jobs in New Jersey are:

What cities in New Jersey are hiring for Quantitative Risk jobs?

Cities in New Jersey with the most Quantitative Risk job openings:

Quantitative Risk jobs near you
Infographic showing various Quantitative Risk job openings in New Jersey as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $91,959 per year, or $44.2 per hour.

Quantitative Analyst

StradIT

Jersey City, NJ • On-site

Contractor

Re-posted 19 days ago

Job description

Primary Responsibilities:
• 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
Requirements
Qualifications:
• 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
• Master's degree or above in a quantitative field of study

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