Senior Reinsurance Actuary & Analytics Leader

Guy Carpenter; Dallas (TX); Hybrid; USD 115,000 - 210,000; Full time

Benefits offered by this job

Health benefits

Tuition assistance

401K plan

Employee assistance programs

Job summary

Marsh seeks a Reinsurance Actuary on the Global Analytics team to partner with brokers and clients, building analyses that evaluate assumptions, premiums, and risk. You will leverage AI to streamline work using Databricks and Python, delivering rigorous, commercially actionable insights.

The role is hybrid with in-office days and opportunities across multiple U.S. offices. You’ll contribute to pricing, risk evaluation, and client solutions while advancing analytics capabilities.

Qualifications

• 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 Python, Alteryx, R, VBA, SQL; comfort with Databricks.

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.

Education

ACAS

Bachelors degree

Tools

Python

Alteryx

R

VBA

SQL

Databricks

Power BI

Tableau

Job description

Marsh seeks a Reinsurance Actuary on the Global Analytics team to partner with brokers and clients, building analyses that evaluate assumptions, premiums, and risk. You will leverage AI to streamline work using Databricks and Python, delivering rigorous, commercially actionable insights.

The role is hybrid with in-office days and opportunities across multiple U.S. offices. You’ll contribute to pricing, risk evaluation, and client solutions while advancing analytics capabilities.