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Quantitative Risk Modeler Jobs (NOW HIRING)

Take ownership of model(s) including accurate position assessment with understanding of contract maturity behavior and seasonality. Streamline and improve processes such as data quality checks and ...

Main Responsibilities • Develop and implement quantitative risk models and metrics for trading operations. • Take ownership of model(s) including accurate position assessment with understanding ...

Design, develop, and enhance quantitative risk models, monitoring tools, dashboards, and automated alerts to improve risk detection capabilities. * Perform daily reviews of trading incidents, conduct ...

Position Summary As a Quantitative Risk Modeling Led in the Ryan Credit Solutions department at Ryan Specialty, you will leverage your actuarial and quantitative expertise to shape the underwriting ...

NewLane Finance is seeking an individual to assist the credit and risk modeling and analytics ... This role will be responsible for providing analytical/quantitative input to help develop ...

NewLane Finance is seeking an individual to assist the credit and risk modeling and analytics ... This role will be responsible for providing analytical/quantitative input to help develop ...

NewLane Finance is seeking an individual to assist the credit and risk modeling and analytics ... This role will be responsible for providing analytical/quantitative input to help develop ...

Develop and maintain quantitative models for valuation, exposure measurement, and risk assessment across physical and financial natural gas, LNG, and power portfolios. * Build and enhance models for ...

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Quantitative Risk Modeler information

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$98K

$169.7K

$259.5K

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.

More about Quantitative Risk Modeler jobs
What cities are hiring for Quantitative Risk Modeler jobs? Cities with the most Quantitative Risk Modeler job openings:
What are the most commonly searched types of Quantitative Risk Modeler jobs? The most popular types of Quantitative Risk Modeler jobs are:
What job categories do people searching Quantitative Risk Modeler jobs look for? The top searched job categories for Quantitative Risk Modeler jobs are:
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.
Senior Quantitative Analyst / Quantitative Risk Modeler

Senior Quantitative Analyst / Quantitative Risk Modeler

The Brixton Group

Manhattan, NY • On-site

Other

Posted 11 days ago


Job description

Our client is currently hiring for a role Quantitative Risk Analyst or Risk Modeler with Python at New York, NY (On-site 5 days/week).



If you’re interested, I’d love to chat more about this position and how it could align with your career goals. Feel free to reply to this message or we can set up a time to talk


.