Quantitative Risk Principal – Critical Risk Reporting

Jobtailor; Charlotte, Northern (NC, KY); Hybrid; USD 180,000 - 240,000; Full time

Job summary

Jobtailor is seeking a senior leader to advance enterprise risk intelligence for strategic decision-making. You will drive development of quantitative models and analytical frameworks that quantify exposures and support risk appetite, governance, and regulatory oversight.

You will build predictive, stress testing, and scenario models across macroeconomic, market, and operational conditions, establish data standards, and translate complex analyses into clear recommendations for the executive team

Qualifications

• Bachelor's degree in a quantitative field or 4 years of relevant education/experience.
• 10+ years of 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

Responsibilities

• Lead evolution of enterprise risk intelligence 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

Skills

Quantitative analytics

Statistical analysis

Forecasting techniques

Machine learning

Executive communication

Education

Bachelor's degree in a quantitative field

4 years of relevant education/experience alternative

Tools

AI-enabled tools

Machine learning libraries

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 Keywords

Hard 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