Life/Health Actuarial Analyst

WTW; Kuala Lumpur; On-site; MYR 89,000 - 179,000; Full time

Job summary

Willis Towers Watson in Kuala Lumpur seeks an actuarial professional to apply domain knowledge and AI-enabled techniques on life and health insurance projects. You will collaborate with consultants and project managers on modelling, valuation and IFRS 17 work.

Fresh grads or early-career candidates with strong analytical skills and actuarial exam progress are encouraged to apply. The role offers hybrid work arrangements and ongoing professional development.

Qualifications

• Degree in Actuarial Science, Mathematics, Statistics, Engineering, or a relevant quantitative field.
• Fresh grads or up to 2 years actuarial experience welcome.
• Progress in actuarial exams with IFoA/SOA IOAA is preferred.
• Digital-first mindset with AI, automation and advanced analytics.
• Ability to validate outputs from AI and analytical tools with professional judgment.
• Basic programming or data analytics skills (Python, R, SQL, Power BI, VBA) advantageous.
• Strong analytical and problem-solving skills.
• Self-driven and able to work independently with minimal supervision.
• Understanding of life/health insurance business and market landscape.

Responsibilities

• Work on life/health insurance client projects including financial modelling, valuation and IFRS 17.
• Develop actuarial models using WTW software and apply techniques to deliver tailored solutions.
• Produce, analyse and communicate results with project managers and teams.
• Identify opportunities to streamline processes and pursue continuous learning.
• Manage time and workload across multiple projects and meet timelines and budgets.
• Support client communications and build trusted advisor relationships.
• Assist project management, planning and tracking progress against objectives.
• Collaborate with multidisciplinary teams to tackle client challenges.
• Leverage AI-enabled tools to improve modelling, analytics and delivery.

Skills

Analytical thinking

Problem solving

Self-driven

Team collaboration

Digital mindset

Education

Actuarial Science degree

Mathematics/Statistics/Engineering degree

Tools

Python

R

SQL

Power BI

VBA

Job description

Description

In this role, your analytical work will go beyond traditional consulting advisory. You will apply insurance domain knowledge and actuarial judgement while leveraging on WTW's market-leading actuarial software to produce tailored solutions to our insurance clients.

As part of our regional consulting team, you will gain broad exposure through working on a variety of projects across different actuarial domains, and with different insurance clients from different markets.

Work Arrangement: Hybrid

Key Responsibilities:

• Work with consultants and project managers on a variety of life/health insurance client projects, includingfinancial modelling, valuation and capital, merger and acquisitions and IFRS 17etc.
• Develop and build actuarial models using WTW's market-leading software and apply actuarial techniques to deliver tailored, value-added solutions for our clients.
• Produce, analyse, explain and communicate results and findings, working closely with project managers/leads and other team members to ensure high-quality work is delivered efficiently within established timelines and budgets.
• Proactively identify opportunities to streamline processes, elevate work quality, and actively pursue continuous learning and professional development opportunities.
• Manage time and workload efficiently across multiple concurrent projects while meeting billable hour targets.
• Support client communications and build trusted advisor relationships through quality execution.
• Assist project manager with project management and workstream coordination, including project planning and tracking progress against agreed objectives, budgets, timelines, and deliverables, tomeet or exceed client expectations
• Collaborate seamlessly as part of a multidisciplinary, cross-functional team to tackle complex client challenges and deliver insightful advice and solutions.
• Leverage AI-enabled tools, analytics and automation solutions to improve efficiency, quality and scalability of actuarial modelling, analysis, reporting and project delivery

Qualifications

• Degree in Actuarial Science, Mathematics, Statistics, Engineering, or a relevant quantitative field
• Fresh grads, or experienced hires of up to 2 years of actuarial experience.
• Good progress in actuarial exams with a recognised International actuarial body (e.g. IFoA, SOA, IOAA)
• Demonstrate a digital-first mindset and embrace emerging technologies, including AI, automation and advanced analytics, to support actuarial modelling, consulting and project delivery.
• Ability to critically assess, validate and appropriately apply outputs generated from AI and analytical tools while maintaining professional judgement and actuarial standards.
• Basic programming or data analytics skills (e.g. Python, R, SQL, Power BI, VBA or similar tools) would be advantageous.
• Strong analytical and problem-solving skills
• Self-driven, and able to work independently with minimal supervision
• Understanding of life/health insurance business and market landscape
• Prior experience with WTW's software (eg. RiskAgility Financial Modeller, Unify, DataValidator) is a plus
• Good time management skills, and able to manage time effectively across multiple concurrent projects