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Quantitative Risk Modeler Jobs (NOW HIRING)

Ryan Specialty

Quantitative Risk Modeling Lead

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 ...

Wsfsbank

Quantitative Risk Analyst

Philadelphia, PA

$64K - $105K/yr

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 ...

WSFS Bank

Quantitative Risk Analyst

Philadelphia, PA · On-site

$64K - $105K/yr

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 ...

WSFS Bank

Quantitative Risk Analyst

Philadelphia, PA · On-site

$64K - $105K/yr

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 ...

Expand Energy

Quantitative Risk Analyst

Spring, TX · On-site

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 ...

Expand Energy

Quantitative Risk Analyst

Spring, TX

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 ...

Expand Energy

Quantitative Risk Manager

Spring, TX · On-site

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 ...

Expand Energy

Quantitative Risk Manager

Spring, TX

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 ...

State Street Corporation

Quantitative Risk

Boston, MA · On-site

$104K - $180K/yr

Quantitative Risk (State Street Bank And Trust Company; Boston, Massachusetts): This role will be ... Specific duties include: assume a key role in model methodology research, prototyping and ...

State Street Global Advisors

Quantitative Risk

Boston, MA · Hybrid

$104K - $180K/yr

Quantitative Risk (State Street Bank And Trust Company; Boston, Massachusetts): This role will be ... Specific duties include: assume a key role in model methodology research, prototyping and ...

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All JobsQuantitative Risk Modeler Jobs

Quantitative Risk Modeler information

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$169.7K

$259.5K

How much do quantitative risk modeler jobs pay per year?

As of Aug 8, 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 as a quantitative risk modeler?

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?

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:
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Quantitative Risk Modeler jobs near you
Infographic showing various Quantitative Risk Modeler job openings in the United States as of August 2026, with employment types broken down into 69% Full Time, and 31% Contract. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $169,729 per year, or $81.6 per hour.

Quantitative Risk Management Consultant

Informatic Technologies

Chicago, IL • On-site

Other

Re-posted 18 days ago

Job description

The Quantitative Risk Team in the Risk Management Department is responsible for developing, analyzing, and back-testing models for clearing initiatives. Daily responsibilities include code release testing, historical data validation, margin and stress testing model validation, and portfolio back-testing. The candidate must have the ability to efficiently, effectively conduct research, analyze problems, formulate and implement solutions, and produce high quality results on time.

Candidates should also be willing to relocate to Chicago at their own costs.

Qualifications:

- Masters in Computer Science, Financial Engineering, Financial Mathematics, Mathematics, Physics, or a related discipline.

- Superb quantitative and analytical background.

- Excellent programming, communication, and documentation skills.

- Knowledge of financial markets.

- Work experience or education in advanced quantitative risk modeling and knowledge of statistical models in risk management preferred.

- Work experience or education in advanced derivatives modeling and knowledge of volatility models preferred.

- Work experience or education in curve construction and data validation preferred.

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