Experience Studies Analyst (L&H)

Swiss Re; Kuala Lumpur; Hybrid; MYR 90,000 - 140,000; Full time

Job summary

Swiss Re in Kuala Lumpur is seeking a junior Actuarial Analytics role to support Experience Studies. You will learn to develop and improve analytical tools, platforms, and methodologies under guidance, gaining hands-on experience in actuarial analysis, R programming, platform testing, reporting and user support with global colleagues.

You will work with actuaries and technology experts across markets, creating learning materials and helping users while contributing to data quality and KPI

Qualifications

• Degree in actuarial science, mathematics, statistics, data science, computer science or related quantitative field.
• Strong analytical and problem-solving skills with data handling ability.
• Interest or experience in actuarial analysis, data, technology and programming.
• Proactive, curious and willing to learn new concepts and skills.

Responsibilities

• Develop reusable analytical solutions, primarily in R.
• Test new platform features and improve user experience and solution quality.
• Deliver meaningful operational insights and build interactive dashboards.
• Collaborate with actuaries and technology colleagues across markets.

Skills

Analytical thinking

Data analysis

Communication

Global teamwork

Ownership

Curiosity

Education

Bachelor's degree in Actuarial Science/Mathematics/Statistics/Data Science/CS

Tools

R

Data visualization

Job description

About The Team

We are the L&H Experience Studies Centre (ES Centre), part of L&H Pricing & Portfolio Performance (PPP) within the Chief Underwriting Office (CUO). PPP brings together pricing expertise and portfolio oversight to support effective risk management, sustainable profitability, and strong performance across both new business and in-force portfolios.

The ES Centre acts as an in-house Experience Studies global solutions provider, delivering the platforms, tools, methodologies, and expertise that support the production of Experience Studies for traditional L&H business globally. Through the development and continuous enhancement of the Experience Studies Platform (ESP), we enable teams worldwide to perform efficient, consistent, and high-quality Experience Studies.

About The Role

This is a junior role for someone who is curious, proactive, and keen to learn. With guidance and on-the-job training, you will help develop and improve analytical tools, platforms, and methodologies that support Experience Studies across L&H. You will gain hands‑on experience in actuarial analysis, R programming, platform testing, reporting, and user support while working with actuarial and technology colleagues globally.

Key Responsibilities

Actuarial Analytics and Tool Development

• Apply actuarial concepts and programming skills to build reusable analytical solutions, primarily in R.
• Test new platform features and contribute ideas that improve the user experience and solution quality.
• Explore opportunities to automate processes and introduce emerging analytical techniques and best practices.

Experience Studies Operational Analytics

• Deliver meaningful operational insights that help leaders understand Experience Studies activity, demand patterns, resource utilisation, and service performance.
• Build and enhance interactive dashboards and visualisations that enable stakeholders to monitor performance and make informed decisions.
• Investigate data anomalies, reporting challenges, and workflow bottlenecks, driving improvements in data quality and KPI reliability.

Global Collaboration

• Work alongside actuaries, technology specialists, and stakeholders across different markets to shape the future of the Experience Studies Platform.
• Gain exposure to how actuarial analysis is delivered at scale across a global organisation.

Learning and Knowledge Sharing

• Create engaging learning materials on experience studies, actuarial methodologies, and the common R calculation engine.
• Share knowledge with actuaries and experience studies practitioners around the world.
• Support platform users, solve practical problems, and turn their feedback into meaningful improvements.

About You

Essential

• Degree in Actuarial Science, Mathematics, Statistics, Data Science, Computer Science, or a related quantitative discipline.
• Strong analytical and problem‑solving skills with the ability to investigate issues and work with data.
• Interest or experience in actuarial analysis, data, technology, and programming.
• Proactive, curious, and willing to learn new concepts and skills.
• Strong attention to detail and commitment to delivering high‑quality work.
• Good communication and collaboration skills, with the ability to work effectively in a global team environment.
• Takes ownership of assigned tasks and follows through on commitments.

Desirable

• Exposure to R or another programming language.
• Knowledge of data visualisation, dashboards, or analytical tools.
• Understanding of Life & Health insurance products, actuarial concepts, or experience studies.
• Experience with automation, data quality analysis, or reporting.
• Interest in developing training materials, sharing knowledge, and supporting users.

About Swiss Re

Swiss Re is one of the world’s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. Combining experience with creative thinking and cutting‑edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 15,000 employees across the world.

Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. We embrace a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics. In our inclusive and flexible environment everyone can bring their authentic selves to work and their passion for sustainability.

We may use AI-powered tools to support the review and evaluation of applications for this position. These tools provide additional insights to our recruitment teams, but all hiring decisions are carefully reviewed and made by people. To learn more about how we use AI in recruitment and how we handle your personal data, please review our Data Privacy Statement before applying.

Keywords

Reference Code:

139266