Senior Actuarial Analyst: Pricing, Modelling & Insights

Fuku; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

360F, the innovation powerhouse of financial advisory, seeks a Senior Actuarial Analyst to join its growing actuarial function in Singapore. The role sits at the intersection of actuarial science and business analysis, translating findings into actionable insights and collaborating with product, engineering and client delivery teams.

The ideal candidate has strong foundations in life, health, or investment‑linked products, plus hands‑on experience with Python or R, data scripting, and regulatory

Qualifications

• Minimum 5 to 8 years of actuarial experience in life, health, or investment‑linked products.
• Pursuing or holding actuarial designation (ASA, FSA, AIA, FIA or equivalent).
• Strong proficiency in Python or R for actuarial data analysis and automation.
• Excellent written and verbal English communication and documentation skills.

Responsibilities

• Support the analysis, development, and maintenance of actuarial models for life, health, and investment‑linked products across APAC markets.
• Conduct experience studies and assumption reviews including mortality, morbidity, persistency, and expense analyses.
• Assist in product pricing exercises and reserve calculations for IFRS 17, RBC, and related frameworks.
• Build, test, and document actuarial models in Python or R, moving toward code‑based workflows.
• Prepare actuarial opinions, certification letters, and regulatory submissions with Head of Actuarial.

Skills

Python

R

Excel

Education

Bachelor’s degree or above in Actuarial Science/Mathematics/Statistics/Quantitative Finance

Tools

Postman

JIRA

Job description

360F, the innovation powerhouse of financial advisory, seeks a Senior Actuarial Analyst to join its growing actuarial function in Singapore. The role sits at the intersection of actuarial science and business analysis, translating findings into actionable insights and collaborating with product, engineering and client delivery teams.

The ideal candidate has strong foundations in life, health, or investment‑linked products, plus hands‑on experience with Python or R, data scripting, and regulatory