ERM Actuary

Company Description

W. R. Berkley Corporation, founded in 1967, is an insurance holding company and one of the largest commercial lines writers in the United States. The company operates globally across two primary segments of the property casualty insurance business:
Insurance and Reinsurance. Its decentralized structure is built around specialized operating units, each focused on a specific niche market. These units bring deep expertise in particular industries, products, or territories, enabling tailored solutions for clients. Team members benefit from a combination of global strength and entrepreneurial, niche‑focused business environments.

This is a full‑time, on‑site ERM Actuary role based in Greenwich, CT. The ERM Actuary will support and enhance the enterprise risk management framework by identifying, quantifying, and monitoring key risks across the organization, including insurance, market, credit, operational, and liquidity risks. Responsibilities include developing and maintaining risk models, performing scenario testing and stress analyses, and contributing to capital adequacy and risk appetite assessments.

The role will collaborate with actuarial, finance, underwriting, and reinsurance teams to provide risk insights that inform strategic and business decisions. The ERM Actuary will also prepare reports and presentations for senior management, support regulatory and rating agency requests, and contribute to ongoing improvement of risk policies, metrics, and governance processes.

• Strong analytical and quantitative skills, including proficiency in data analysis, modeling, and problem‑solving (Analytical Skills, Statistics).
• Foundational to advanced knowledge of actuarial principles and methods, ideally with progress toward or completion of professional actuarial credentials (Actuarial Science).
• Understanding of insurance products, pricing, reserving, and risk characteristics within property and casualty markets (Insurance).
• Knowledge of corporate finance concepts, capital modeling, and the interaction between risk, capital, and return (Finance).
• Proficiency with spreadsheets and analytical tools (e.g., Excel, SQL, R, Python, or similar) and the ability to learn new systems as needed.
• Bachelor’s degree or higher in Actuarial Science, Mathematics, Statistics, Finance, or a related quantitative field.
• Effective written and verbal communication skills, with the ability to explain complex concepts to non‑technical audiences.
• Strong attention to detail, organizational skills, and the ability to manage multiple priorities in a fast‑paced environment.
• Collaborative mindset and experience working in cross‑functional teams; prior experience in ERM, capital modeling, or risk management is a plus.