Quantitative Risk Principal – Critical Risk Reporting

• 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

• 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

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.

• Quantitative Risk Analytics
• Statistical Analysis
• Predictive Modeling
• Data Synthesis
• Risk Management

• 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

• Executive Communication
• Strategic Influence
• Decision-Making

• Risk Appetite Management
• Governance
• Regulatory Oversight
• Macroeconomic Trends
• Operational Risk
• Business Outcomes

• AI-Enabled Tools
• Advanced Analytics