Actuarial Data Analyst
4 months ago
1] Role
- Actuarial Data Analyst
Experience -5 Years
Skills: Actuarial, Python, DWH, Datawarehouse, ETL, Insurance, Life, Health
Tenure -12+ Months
Location - Kuala Lumpur
Notice
- Not beyond 30 days
Prefer Locals or Locally available Expats
JD:
Technical Responsibilities
▪ Conversion of existing Python scripts (in AWS) specific to Life and Health Actuarial teams to Google Big Query SQL
▪ Testing of the rewritten Big Query SQL logic and sign-off, upon alignment with Actuarial teams
▪ Document the requirement, ETL logic, testing plan and test results
Skills Requirement
▪ Must have high technical proficiency with Python and Google Big Query SQL skills
▪ Present actuarial recommendations and reports to senior management, effectively translate complex actuarial codes in a clear and concise manner
▪ Highly experienced within Life or Health Insurance domain, preferably within 2-3 years’ experience
▪ Business Intelligence/Data Warehousing/ETL experience
▪ Excellent analytical skills, with the ability to analyze complex data sets and derive
actionable insights.
▪ Detail-oriented mindset, focusing on accuracy and precision in actuarial
calculations and analyses.
**Job Type**: Contract
Contract length: 12 months
Pay: RM12,000.00 - RM15,000.00 per month
Schedule:
- Day shift
- Monday to Friday
**Experience**:
- Actuarial Data Analyst: 3 years (preferred)
- Python: 2 years (preferred)
- DWH: 3 years (preferred)
- Insurance Domain: 2 years (preferred)
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