VP, Reinsurance Actuary & Analytics

Internationalinsuranceprofessionals; Sacramento (CA); Hybrid; USD 115,000 - 210,000; Full time

Benefits offered by this job

Health and welfare benefits

Tuition assistance

401K savings and retirement programs

Employee assistance programs

Job summary

Marsh is seeking a Reinsurance Actuary on the Global Analytics team. You will be an individual contributor delivering rigorous analyses on assumptions, premiums, and risk, while consulting with brokers and clients to mitigate risk.

The role emphasizes AI-enabled approaches and modern tooling like Databricks and Python to improve speed and consistency. The position supports offices in New York City, Morristown, Philadelphia, Minneapolis, Dallas, Atlanta, Seattle, San Francisco or Chicago.

Qualifications

• ACAS certification and 5–7 years of industry experience.
• Bachelor’s degree in Actuarial Science, Economics, Math, Statistics or related field required.
• Pricing, valuation or capital modeling experience preferred.
• Strong skills in Microsoft Office and visualization tools.

Responsibilities

• Consult with brokers on client needs and advise on reinsurance programs based on risk tolerance and industry trends.
• Communicate strategically with brokers, reinsurers, and clients to drive usage of actuarial services.
• Develop and implement complex models to assess risk and pricing strategies for various exposures.
• Evaluate how reinsurance structures affect client financials and ensure alignment with needs.
• Leverage AI-enabled approaches to streamline repeatable work while maintaining controls.
• Identify opportunities and position analytics-led solutions to strengthen client relationships.

Skills

Analytical thinking

Communication skills

Problem solving

Team collaboration

Coding in Python/SQL/Alteryx/R

Education

ACAS

Bachelor's degree in Actuarial Science, Economics, Math, Statistics, or related field

Tools

Databricks

Power BI

Tableau

Python

SQL

Alteryx

Job description

Marsh is seeking a Reinsurance Actuary on the Global Analytics team. You will be an individual contributor delivering rigorous analyses on assumptions, premiums, and risk, while consulting with brokers and clients to mitigate risk.

The role emphasizes AI-enabled approaches and modern tooling like Databricks and Python to improve speed and consistency. The position supports offices in New York City, Morristown, Philadelphia, Minneapolis, Dallas, Atlanta, Seattle, San Francisco or Chicago.