VP, Global Analytics

Marsh McLennan•Philadelphia, PA

1d•$114,700 - $210,400•Hybrid

About The Position

As a VP in Global Analytics, you will be an individual contributor who, with minimal supervision, serves as a strategic actuarial and analytics partner to brokers and clients. You will build and communicate complex analyses that evaluate assumptions, premiums, and risk; assess industry factors that affect loss liabilities; and consult with clients on reinsurance actuarial services that help assess and mitigate risk. You’ll bring together the GC view, client view, and market view to deliver insight that is technically rigorous and commercially actionable. You’ll also help modernize how we work by using AI to streamline and augment analyses, leveraging modern tooling such as Databricks and Python to improve speed, consistency, and scalability. The position can be based in our New York City, Morristown, Philadelphia, Minneapolis, Dallas, Atlanta, Seattle, San Francisco or Chicago office. This is a hybrid role that has a requirement of working at least three days a week in the office.

Requirements

ACAS with 5–7 years in the industry.
Bachelor’s degree in Actuarial Science, Economics, Math, Statistics, or related field.
Pricing, valuation, and/or capital modeling experience.
Strong skills in Microsoft Office suite.
Visualization skills (Power BI, Tableau, or similar).
Excellent communication skills (verbal and written).
Coding experience in programming languages/tools (e.g., Python, Alteryx, R, VBA, SQL); comfort working with modern analytics platforms such as Databricks.
Comfortable working in interactive teams with brokers and clients.
Ability to lead day-to-day parts of a project and make decisions to keep projects moving forward.
Strong problem-solving skills.

Nice To Haves

Reinsurance, stochastic modeling and/or capital modeling experience.
Experience influencing senior management
Diverse background working in various roles and lines of business.
Demonstrated use of automation/AI to improve analytical efficiency and consistency.

Responsibilities

Consult with brokers on client needs and advise on reinsurance programs based on risk tolerance and industry trends to help clients mitigate risk.
Communicate strategically with brokers, reinsurers, and clients to anticipate needs and drive usage of reinsurance actuarial services.
Implement complex models/calculations to assess risk and develop pricing and strategies for a range of risk exposures.
Evaluate how reinsurance structures and expected results impact the client’s overall financial standing (e.g., earnings volatility, capital position) and ensure program design meets client needs.
Use AI-enabled approaches to streamline and augment repeatable work (e.g., analysis setup, sensitivity testing, QA checks, documentation, and executive summaries) while maintaining actuarial standards and controls.
Help create broking-aligned strategies that support revenue generation, including identifying opportunities and positioning analytics-led solutions that strengthen client relationships.