Thai Insurance Research and Development Co.,Ltd

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Jun 13, 2025

Actuarial Analyst

Location

BTS Punnawithi, Udom Suk

Salary

55,000 - 75,000 THB

Vacancies

Online Interview

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Job Descriptions

Company Overview: Thai Insurance Research and Development Co., Ltd. Why Join TIRD ? To empower the insurance ecosystem through data analytics, research, and innovative technologies. As an insurance rating bureau and a research & development company for the general insurance industry, we aim to set industry standards, provide valuable insights and guidance to the industry and society. We are dedicated to gaining the trust of stakeholders and delivering measurable impact, serving as the driving force behind the sustainable progress of the insurance sector in the region. Position Summary: As an Actuarial Analyst for TIRD, you will lead strategic projects, set industry standards, and provide insights for the sector. Responsibilities include developing pricing models, calculating reference loss cost and IBNR for the industry. This is an excellent opportunity for a self-motivated individual to contribute to the advancement of the insurance industry. Key Responsibilities: 1. Conduct in-depth analysis of insurance industry data to assess risk, monitor trends, and identify challenges and opportunities for the industry. 2. Collaborate with TGIA and OIC in the development and implementation of new products and initiatives, providing actuarial expertise and insights. 3. Utilize actuarial techniques and statistical methodologies to calculate IBNR (Incurred But Not Reported), reference loss cost and standard premium rates for the industry. 4. Design, develop, and manage data pipelines to support actuarial work. 5. Stay updated with regulatory changes, industry standards, and best practices.

Qualifications

Bachelor's or Master's degree in Actuarial Science or a related field (e.g., Mathematics, Statistics, Finance).
At least 3-5 years of experience as an Actuarial Analyst or in a similar role.
Exceptional analytical and problem-solving skills.
Superior quantitative skills, including proficiency in statistical analysis and modeling.
Strong communication and presentation skills.
Ability to work independently (self-starter and independent learner) and as part of a team.
Proficiency in Excel and prior experience in SQL. Knowledge of R, Python, or SAS is a plus.
A comprehensive understanding of insurance principles and practices is a plus.
Progress towards actuarial designation (e.g., CAS, SOA, FIA) is preferred.