Coordinate and perform risk assessments, risk reporting, and review and challenge of cat models across US and Bermuda operations
Lead the development of Probable Maximum Loss (PML) estimates by leveraging internal exposure data, catastrophe models, and actuarial analysis
Design, execute, and refine risk scenarios to evaluate the impact of adverse events and to support strategic decision‑making at the enterprise level
Support the review and challenge of business unit plans from a risk perspective, evaluating alignment with risk appetite, capital adequacy, and strategic objectives
Develop, maintain, and monitor the company's risk appetite framework, including the formulation of risk appetite statements, risk tolerances, and risk limits across material risk categories
Partner closely with Underwriting Risk, Catastrophe and Exposure Management, and other functions within the OCUO to identify, assess, and mitigate insurance risks across Markel's P&C portfolio
Manage and support key regulatory deliverables, including the Own Risk and Solvency Assessment (ORSA) report
Develop and maintain a suite of Key Risk Indicators (KRIs) and executive‑level risk dashboards to provide senior management and the Board with transparent, actionable insight into the company's risk profile
Requirements
Bachelor's degree in Actuarial Science, Mathematics, Statistics, Finance, Economics, or a related quantitative field
A master's degree or MBA is preferred
One or more of the following designations is strongly preferred: Fellow of the Casualty Actuarial Society (FCAS), Chartered Property Casualty Underwriter (CPCU), Financial Risk Manager (FRM), Associate of the Casualty Actuarial Society (ACAS), or equivalent professional risk management certification
A minimum of 8–12 years of progressive experience in enterprise risk management, actuarial, or insurance risk functions within the property and casualty insurance or reinsurance industry
Direct experience with specialty or surplus lines products is highly valued
Demonstrated proficiency in capital modeling, catastrophe modeling platforms, and advanced data analysis using Excel, SQL, Python, or R
Experience with business intelligence and visualization tools (e.g., Tableau or Power BI) is a plus
Strong working knowledge of U.S. insurance regulatory frameworks, including NAIC requirements, ORSA, Risk‑Based Capital (RBC), and AM Best rating agency methodologies
Familiarity with Solvency II concepts is advantageous
Excellent analytical, problem‑solving, and critical‑thinking skills
Superior written and verbal communication abilities, with a demonstrated capacity to present complex risk topics clearly to executive audiences and Board‑level stakeholders
Strong business judgment, intellectual curiosity, and the ability to work independently while building collaborative relationships across functions