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Quantitative Risk Modeler Jobs (NOW HIRING)

Jobtailor

$180 - $240/hr

Design modeling solutions to assess current and emerging risks, quantify exposures, and influence ... Perform independent quantitative assessment and challenge business assumptions, risk methodologies ...

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 ...

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 ...

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 · 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 ...

CoBank

Quantitative Risk Analyst

Greenwood Village, CO · On-site

$100 - $123/hr

Hybrid work model: flexible arrangements for most positions * Benefits Packages, including Medical ... Supports Quantitative Risk team and management during implementation of new models and/or research ...

WSFS Bank

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 ...

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 ...

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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 Aug 28, 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 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.

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 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.

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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 1% As Needed, 89% Full Time, 8% Part Time, and 2% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $169,729 per year, or $81.6 per hour.

Quantitative Risk Principal - Critical Risk Reporting

Jobtailor

On-site

$180 - $240/hr

Other

Posted 6 days ago

Job description

  • Lead the evolution of enterprise risk intelligence capabilities for strategic decision-making, risk appetite management, governance, and regulatory oversight
  • Develop, maintain, and enhance sophisticated quantitative risk models, analytical frameworks, and methodologies
  • Design modeling solutions to assess current and emerging risks, quantify exposures, and influence risk strategy and business decisions
  • Develop predictive, stress testing, scenario analysis, and simulation models across macroeconomic, market, operational, and business conditions
  • Establish approaches and best practices for acquiring, transforming, validating, and maintaining complex data assets
  • Improve risk measurement capabilities through enhanced data, advanced methodologies, emerging technologies, and innovative modeling techniques
  • Design scalable model architectures integrating multiple risk types and analytical capabilities
  • Perform independent quantitative assessment and challenge business assumptions, risk methodologies, model outputs, risk limits, and strategic decisions
  • Synthesize technical quantitative analysis into executive insights and strategic recommendations
  • Develop methodologies for evaluating model uncertainty, tail risk, emerging exposures, and interconnected risk relationships
  • Establish analytical standards, modeling best practices, and quantitative risk methodologies
  • Evaluate relationships among risk drivers, scenarios, and business outcomes to provide forward-looking risk insights
  • Serve as the recognized authority on complex quantitative risk matters and provide expert consultation
  • Represent Risk leadership in executive forums, governance committees, and association working groups
  • Influence strategic direction, prioritization, and delivery of quantitative risk capabilities through technical expertise and thought leadership
Requirements
  • Bachelor's degree in Economics, Finance, Statistics, Mathematics, Engineering, Actuarial Science, Data Science, or another quantitative field; OR 4 years of relevant education and/or experience
  • 10+ years experience in quantitative analytics, modeling, risk management, statistical analysis, actuarial science, data science, economics, or finance
  • 6 years of specific quantitative risk analytics experience
  • Experience with highly complex projects and initiatives with demonstrated association-wide impact
  • Ability to synthesize large volumes of risk, business, operational, and external data into concise executive insights and decision-oriented recommendations
  • Experience identifying emerging trends, leading indicators, concentrations, and potential risk exposures
  • Experience applying statistical analysis, forecasting techniques, scenario analysis, and predictive methods
  • Experience translating complex quantitative findings into executive narratives influencing senior leadership, committee, or board-level decisions
  • Ability to distinguish signal from noise within large, complex reporting environments
  • Experience leveraging advanced analytics, AI-enabled tools, or machine learning techniques
  • Ability to connect macroeconomic, operational, regulatory, and business trends into integrated risk perspectives
  • US military experience gained through military service or as a military spouse/domestic partner
  • Must not require immigration support or visa sponsorship
Core Competencies

Demonstrates expertise in developing and enhancing quantitative risk models and analytical frameworks to support strategic decision-making and risk management. Proficient in synthesizing complex data into actionable insights and recommendations for executive leadership.

Highest-signal resume keywords
  • Quantitative Risk Analytics
  • Statistical Analysis
  • Predictive Modeling
  • Data Synthesis
  • Risk Management
ATS Optimization KeywordsHard Skills
  • Quantitative Risk Models
  • Analytical Frameworks
  • Scenario Analysis
  • Stress Testing
  • Data Transformation
  • Model Uncertainty Evaluation
  • Tail Risk Assessment
  • Forecasting Techniques
  • Machine Learning Techniques
  • Complex Data Analysis
Soft Skills
  • Executive Communication
  • Strategic Influence
  • Decision-Making
Industry Keywords
  • Risk Appetite Management
  • Governance
  • Regulatory Oversight
  • Macroeconomic Trends
  • Operational Risk
  • Business Outcomes
Tools & Technologies
  • AI-Enabled Tools
  • Advanced Analytics
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