Senior Reinsurance Actuary & Analytics Strategist

Internationalinsuranceprofessionals; New York (NY); Hybrid; USD 115,000 - 210,000; Full time

Benefits offered by this job

Professional development opportunities

Tuition assistance

401(k) savings plan

Health and welfare benefits

Job summary

Marsh, a global leader in risk, reinsurance, and related services, is seeking a Reinsurance Actuary to serve as a strategic analytics partner to brokers and clients. You will build complex analyses around assumptions, premiums, and risk, and consult on actuarial services to mitigate risk.

The role emphasizes integrating GC, client, and market views to deliver rigorous, actionable insights, with a focus on AI-enabled workflow modernization using Databricks and Python.

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.
• 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 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 client financials.
• Use AI-enabled approaches to streamline and augment repeatable work while maintaining actuarial standards.
• Help create broking-aligned strategies that support revenue generation and strengthen client relationships.

Skills

ACAS (5–7 years)

Bachelor's degree in Actuarial Science

Pricing/valuation/capital modeling

Microsoft Office

Power BI/Tableau

Python/Alteryx/R

SQL

Strong communication

Team leadership/Project management

Problem-solving

Education

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

Tools

Databricks

Python

Job description

Marsh, a global leader in risk, reinsurance, and related services, is seeking a Reinsurance Actuary to serve as a strategic analytics partner to brokers and clients. You will build complex analyses around assumptions, premiums, and risk, and consult on actuarial services to mitigate risk.

The role emphasizes integrating GC, client, and market views to deliver rigorous, actionable insights, with a focus on AI-enabled workflow modernization using Databricks and Python.