Actuarial Data Analyst

2 weeks ago


Kuala Lumpur, Malaysia Verinon Full time

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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