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Quantitative Risk Modeler Jobs (NOW HIRING)

StradIT

Quantitative Analyst

Jersey City, NJ · On-site

In this role, you will help support quantitative risk modeling work tied to fixed income and market risk use cases. This is an opportunity to contribute to analysis that informs stakeholders ...

StradIT

Quantitative Analyst

Jersey City, NJ · On-site

In this role, you will help support quantitative risk modeling work tied to fixed income and market risk use cases. This is an opportunity to contribute to analysis that informs stakeholders ...

LHH US

Quantitative Analyst

Jersey City, NJ

$48.43/hr

Understanding of Market Risk Models * Ability to analyze and communicate quantitative risk ... implications * Preferred Requirements: * Advanced desktop technology skills such as Excel and ...

LHH US

Quantitative Analyst

Jersey City, NJ

$48.43/hr

Understanding of Market Risk Models * Ability to analyze and communicate quantitative risk ... implications * Preferred Requirements: * Advanced desktop technology skills such as Excel and ...

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How much do quantitative risk modeler jobs pay per year?

As of Jul 18, 2026, the average yearly pay for quantitative risk modeler in the United States is $169,729.00, according to ZipRecruiter salary data. Most workers in this role earn between $134,500.00 and $199,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Quantitative Risk Modeler position, and why are they important?

To thrive as a Quantitative Risk Modeler, you need strong quantitative analysis skills, advanced knowledge of statistics, mathematics, and finance, and typically a degree in a quantitative field such as mathematics, finance, or engineering. Proficiency with programming languages like Python, R, or MATLAB, and familiarity with risk management systems and financial modeling software are commonly required, as are certifications such as FRM or CFA. Excellent problem-solving abilities, attention to detail, and effective communication skills are critical for interpreting data and conveying complex concepts to non-technical stakeholders. These skills ensure accurate risk assessment, effective model development, and successful collaboration within cross-functional teams in high-stakes financial environments.

What are the primary responsibilities of a Quantitative Risk Modeler on a daily basis?

A Quantitative Risk Modeler’s typical day involves developing, testing, and validating quantitative models used to assess financial risks such as credit, market, or operational risk. You’ll often work with large datasets, use statistical and computational methods to analyze risk exposures, and document your findings for regulatory compliance. Collaboration with traders, risk managers, and other data professionals is common to ensure models accurately reflect real-world financial conditions. Additionally, you may be involved in meetings to discuss model outcomes, propose improvements, and stay updated on the latest regulatory and industry standards.

What is a Quantitative Risk Modeler job?

A Quantitative Risk Modeler assesses financial risks by developing mathematical models and statistical techniques to analyze market, credit, and operational risks. They use programming, data analysis, and financial theories to quantify risk exposure and support decision-making in banks, investment firms, and risk management teams. Their work involves stress testing, scenario analysis, and creating predictive models to enhance risk assessment and regulatory compliance.

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What cities are hiring for Quantitative Risk Modeler jobs? Cities with the most Quantitative Risk Modeler job openings:
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Quantitative Risk Modeler jobs near you
Infographic showing various Quantitative Risk Modeler job openings in the United States as of July 2026, with employment types broken down into 14% Locum Tenens, 5% Internship, 3% As Needed, 71% Full Time, 5% Contract, and 2% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $169,729 per year, or $81.6 per hour.
Quantitative Analyst

Quantitative Analyst

StradIT

Jersey City, NJ • On-site

Full-time

Re-posted 3 days ago

Job description

StradIT is a technology and professional services firm supporting clients with IT, AI engineering, software tooling, and business-facing solutions. Within the Information Technology and Services space, the company partners on complex, business-critical work that benefits from strong technical judgment and clear analytical thinking.

In this role, you will help support quantitative risk modeling work tied to fixed income and market risk use cases. This is an opportunity to contribute to analysis that informs stakeholders, supports oversight needs, and helps maintain high standards for model quality and reporting.

Responsibilities
  • Maintain and enhance 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

•5+ years of professional work experience and must have 3+ years of hands-on experience in quantitative models and research, with deep understanding of 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 experience with VaR modeling a big plus.

•Excellent communication skills, with experience communicating model outputs to internal model users and external supervisors.

•Experience validating quantitative analysis results or model outputs to ensure quality.

•Master’s degree or above in a quantitative field of study.

•Eligible to work in the United States.

Benefits