Lead Health Analytics & Actuarial Insights (Indonesia)

Prudential Services Asia; Jakarta Pusat; On-site; IDR 300,000,000 - 540,000,000; Full time

Job summary

Prudential Services Asia seeks a Health Analytics Lead in Jakarta to drive claims analysis, morbidity studies, and cost trend evaluations within the Actuarial function. Lead the development of models for claim projection, pricing, and portfolio management, collaborating with actuaries, underwriters, product managers, and data scientists to improve health risk assessment.

Applicants should have 5–8 years in health analytics, strong SQL/Python/R/SAS skills, and the ability to translate complex

Qualifications

• Bachelor’s or Master’s degree in Data Science, Public Health, Actuarial Science, Statistics, Economics, or related field.
• 5–8 years of experience in health analytics, preferably within insurance, healthcare, or consulting.
• Strong understanding of Indonesian health insurance landscape.
• Proficiency in analytical tools such as SQL, Python, R, or SAS.
• Excellent communication skills and ability to translate complex data into actionable insights.

Responsibilities

• Lead health analytics initiatives, including claims analysis, morbidity studies, and cost trend evaluations.
• Provide technical insights into claim cost containment initiatives.
• Develop and maintain models to support claim projection, trend identification, pricing, product design, and portfolio management.
• Collaborate with actuaries, underwriters, product managers, and data scientists to enhance health risk assessment.

Skills

SQL

Python

R

SAS

Leadership

Cross-functional

Health analytics

Communication

Education

Data Science degree

Public Health degree

Actuarial Science degree

Statistics degree

Economics degree

Tools

SQL

Python

R

SAS

Job description

Prudential Services Asia seeks a Health Analytics Lead in Jakarta to drive claims analysis, morbidity studies, and cost trend evaluations within the Actuarial function. Lead the development of models for claim projection, pricing, and portfolio management, collaborating with actuaries, underwriters, product managers, and data scientists to improve health risk assessment.

Applicants should have 5–8 years in health analytics, strong SQL/Python/R/SAS skills, and the ability to translate complex