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Intern Quantitative Risk Modeler Jobs (NOW HIRING)

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

As a Quantitative Risk Management Intern within Enterprise Risk Management (ERM), you will apply ... Support model development, validation, monitoring, and evaluation activities across various risk ...

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 ...

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How much do intern quantitative risk modeler jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for intern quantitative risk modeler in the United States is $18.31, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $19.23 per hour, depending on experience, location, and employer.

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For Intern Quantitative Risk Modeler jobs, the most frequently searched job titles are:

Quantitative Risk Principal - Critical Risk Reporting

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Posted 23 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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