Hybrid Reinsurance Actuary & AI Analytics Leader

Internationalinsuranceprofessionals; Pennsylvania; Hybrid; USD 115,000 - 210,000; Full time

Job summary

Marsh is seeking a Reinsurance Actuary on the Global Analytics team to act as a strategic actuarial and analytics partner for brokers and clients. You will build complex analyses around assumptions, premiums, and risk, communicating insights that are technically rigorous and commercially actionable.

You will leverage AI and modern tooling such as Databricks and Python to accelerate analyses, with a hybrid work model requiring in-office presence at least three days per week across US offices

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; comfortable with Databricks.
• Comfortable working in interactive teams with brokers and clients.
• Ability to lead day-to-day parts of a project and keep moving forward.
• Strong problem-solving skills.

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 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 financial standing and ensure program design meets client needs.
• Use AI-enabled approaches to streamline repeatable work while maintaining actuarial standards and controls.
• Help create broking-aligned strategies that support revenue generation and strengthen client relationships.

Skills

ACAS

5-7 yrs

Excellent communication

Microsoft Office

Power BI

Tableau

Python

Alteryx

R

SQL

Databricks

Team collaboration

Project leadership

Education

Bachelor's degree in Actuarial Science / Economics / Math / Statistics

Tools

Databricks

Python

R

SQL

VBA

Job description

Marsh is seeking a Reinsurance Actuary on the Global Analytics team to act as a strategic actuarial and analytics partner for brokers and clients. You will build complex analyses around assumptions, premiums, and risk, communicating insights that are technically rigorous and commercially actionable.

You will leverage AI and modern tooling such as Databricks and Python to accelerate analyses, with a hybrid work model requiring in-office presence at least three days per week across US offices