Hybrid Reinsurance Actuary: AI Analytics & Strategy (Manila)

Marsh; Manila; Hybrid; PHP 2,000,000 - 3,500,000; Full time

Benefits offered by this job

Hybrid work arrangement

Job summary

Marsh in Manila is seeking a Reinsurance Actuary to join our Global Analytics and Advisory team. The role blends actuarial modeling, reinsurance strategy and client engagement, with three days per week in the office as a hybrid arrangement.

You will build models, evaluate optimal structures, and apply AI-driven approaches to streamline analysis while upholding actuarial standards. Mentoring junior colleagues is expected.

Qualifications

• Minimum 7 years of experience in non-life (re)insurance.
• Experience in property & casualty (re)insurance, pricing, capital modeling, and/or catastrophe modeling.
• Excellent communication, presentation and project management skills.
• Strong ability to manage significant workflow and competing priorities.
• Coding experience in Python, Alteryx, R, VBA, SQL; comfortable with Databricks.

Responsibilities

• Communicate strategically with brokers, reinsurers, and clients to anticipate needs and deliver high-value reinsurance actuarial support in a fast-paced environment.

Skills

Communication skills

Time management

Presentation skills

Client-facing

Education

FCAS/FIA/FIAA

Bachelor’s degree in Actuarial Science, Economics, Math, Statistics

Tools

Python

Databricks

SQL

R

Alteryx

VBA

Job description

Marsh in Manila is seeking a Reinsurance Actuary to join our Global Analytics and Advisory team. The role blends actuarial modeling, reinsurance strategy and client engagement, with three days per week in the office as a hybrid arrangement.

You will build models, evaluate optimal structures, and apply AI-driven approaches to streamline analysis while upholding actuarial standards. Mentoring junior colleagues is expected.