Quantitative Risk Principal – Critical Risk Reporting

USAA•San Antonio, TX

2d•$189,370 - $361,950•Hybrid

About The Position

As a dedicated Quantitative Risk Principal, you will lead the evolution of enterprise risk intelligence capabilities that inform strategic decision-making, risk appetite management, governance, and regulatory oversight. Serves as a recognized subject matter expert, applying advanced quantitative, statistical, financial, and risk management expertise to identify emerging risks, uncover meaningful trends, and distinguish signal from noise across complex risk environments. Leverages analytical intuition, intellectual curiosity, and innovative analytical techniques to transform large volumes of risk data, reporting, and external factors into actionable executive insights. Leads the advancement of predictive analytics, scenario analysis, stress testing, and forward-looking risk assessments that enhance the organization's ability to identify, measure, monitor, and respond to evolving risk exposures. Provides independent challenge and strategic perspective to executive leadership regarding risk exposures, emerging trends, model assumptions, and business decisions. Influences association-wide risk management practices, analytical standards, and long-term capability development through thought leadership, cross-functional collaboration, and deep business acumen.

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, to include 6 years of specific quantitative risk analytics experience with accountability for highly complex projects and initiatives with demonstrated association-wide impact.
Demonstrated ability to synthesize large volumes of risk, business, operational, and external data into concise executive insights and decision-oriented recommendations.
Proven experience identifying emerging trends, leading indicators, concentrations, and potential risk exposures before they materialize into measurable business impacts.
Strong analytical intuition and intellectual curiosity with a track record of challenging assumptions, asking the right questions, and uncovering insights not readily visible through standard reporting.
Experience applying statistical analysis, forecasting techniques, scenario analysis, and predictive methods to support forward-looking risk management and strategic decision-making.
Demonstrated success translating complex quantitative findings into compelling executive narratives that influence decisions at the senior leadership, committee, or board level.
Ability to distinguish signal from noise within large, complex reporting environments and prioritize the risks, trends, and business implications most relevant to executive stakeholders.
Experience leveraging advanced analytics, AI-enabled tools, or machine learning techniques to enhance insight generation while maintaining strong human governance, challenge, and accountability.
Proven ability to connect macroeconomic, operational, regulatory, and business trends into integrated risk perspectives that support strategic planning and enterprise decision-making.

Nice To Haves

Analytical intuition and intellectual curiosity
Ability to distinguish signal from noise
Forward-looking forecasting and scenario analysis
US military experience gained through military service or gained as a military spouse / domestic partner

Responsibilities

Develops, maintains, and continuously enhances highly sophisticated quantitative risk models, analytical frameworks, and methodologies that serve as foundational inputs for association risk management, strategic decision-making, risk appetite monitoring, and executive governance activities.
Applies deep quantitative, statistical, econometric, financial, and risk management expertise to design innovative modeling solutions that assess current and emerging risks, quantify exposures, and influence association risk strategy and business decisions.
Develops advanced predictive, stress testing, scenario analysis, and simulation models to evaluate risk under a broad range of macroeconomic, market, operational, and business conditions, providing insights that shape association risk management priorities.
Produces industry-leading analytical approaches and best practices for acquiring, transforming, validating, and maintaining complex data assets required to support association risk models and analytical solutions.
Identifies opportunities to improve risk measurement capabilities through enhanced data, advanced methodologies, emerging technologies, and innovative modeling techniques, influencing the evolution of association-wide risk analytics.
Designs scalable and sustainable model architectures that enable integration of multiple risk types, analytical capabilities, and future enhancements while maintaining rigorous model governance and performance standards.
Performs independent quantitative assessment and effective challenge of business assumptions, risk methodologies, model outputs, risk limits, and strategic decisions through advanced analysis and expert judgment.
Synthesizes highly technical quantitative analysis into actionable business insights and strategic recommendations that enable executive leadership and governance committees to understand risk-return tradeoffs and make informed decisions.
Develops innovative methodologies for evaluating model uncertainty, tail risk, emerging risk exposures, and interconnected risk relationships across the association to enhance risk identification and measurement capabilities.
Establishes analytical standards, modeling best practices, and quantitative risk methodologies that influence association-wide risk management practices and advance organizational analytical maturity.
Evaluates complex relationships among risk drivers, scenarios, and business outcomes to provide forward-looking insights regarding association risk exposures, capital impacts, resilience, and strategic alternatives.
Serves as the association's recognized authority on highly complex quantitative risk matters and provides expert consultation on issues where analysis is ambiguous, precedent is limited, and decisions carry significant association-wide impact.
Represents Risk leadership in executive forums, governance committees, and association working groups, communicating complex quantitative concepts, methodologies, and risk implications to senior leaders and key stakeholders.
Influences the strategic direction, prioritization, and delivery of quantitative risk capabilities through technical expertise, thought leadership, and evidence-based recommendations rather than direct management authority.