Actuarial Data Analyst

1 week ago


Kuala Lumpur, 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, 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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