Actuarial Executive Data Analytics and Studies

1 week ago

Kuala Lumpur, Malaysia Prudential plc Full time

Prudential's purpose is to help people get the most out of life. We will deliver our purpose by creating a culture in which diversity is celebrated and inclusion assured, for our colleagues, customers, and partners. We provide a platform for our people to do their best work and make an impact to the business, and in exchange, we support our people's career ambitions. We pledge to make Prudential a place where you can Connect, Grow and Succeed.

Job Description - Data Analytics and Studies (Executive)

Scope

The individual will perform a wide range of analytics to support the company’s growth and risk management strategies. The position works under the Data Analytics team in Actuarial Office supporting regional and local business initiatives including claims experience studies.

The individual will perform but not limited to the following:

- To perform data reconciliation with Finance, Claims departments and identify the gap of discrepancy and provide findings.
- To produce regular experience analysis reports at a high level of granularity for Accident and Health plans, in support of the Company’s medical claim management strategy
- To produce regular mortality and morbidity claim experience analyses
- To work closely with the business and operation teams (ie. claim, underwriting, agency, marketing, etc.) to understand business requirements and to formulate an analytical work plan based on the stated objectives
- To execute the analytical work plan end-to-end from producing data requirements, extracting data to completing the analysis and presenting the results/analytic insights to business user
- To develop deep understanding of operational and business data and continuously improve existing workflow
- To support the data generation / IBNR calculation for IFRS17.

**Requirements**:

- Degree in Actuarial Science or other quantitative discipline
- Preferred to have passed at least 2 professional actuarial examinations.
- Having knowledge in Prophet, DCS and Microsoft Office (Excel, Word and PowerBI) is advantageous.
- Coding knowledge and experience in SQL, R, Python, SAS and/or other open source big data languages with life insurance or general insurance or financial services knowledge a plus
- Curious, self-driven, independent, great attention to details, problem solver and work well with others
- Good spoken/written communication skill

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