14134006 - Life SG Actuarial Analyst
4 weeks ago
- 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
- Business Responsibilities
- Work closely with finance and actuarial team enterprise architecture team, application development team to understand the applications workflow and requirement, integration pattern with finance cloud platform
- Conduct business analysis by eliciting, interpreting and analyzing the requirements from actuarial teams and producing specification of actuarial metrics & analysis
- Act as main liaison between business/actuarial teams and technical delivery team to drive realization of actuarial processes into proper execution, change management and BAU activities
- Create and maintain accurate and up to date documentations
- Support the migration of pricing tools in terms of technical accuracy and efficiency
- Support the actuarial control cycle through assisting the valuation team in the reserving exercise and strategic planning exercise
- Provide monitoring updates on profitability trends to senior stakeholders. This includes inflation studies, actual vs expected studies for all products, understanding the key profitability/loss drivers and providing recommendations.
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.
Ref: 1813760
Posted on: May 21, 2024
Experience level: Entry Level
Contract Type: Permanent Full Time
Location:
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