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Senior/Executive, Data Intelligence
2 months ago
COMPANY DESCRIPTION
A leading general insurer with a local presence of over 100 years, MSIG Singapore offers an extensive range of insurance solutions for commercial and personal risk protection, enabling the security and safety of individuals and businesses. MSIG Singapore holds an A+/Stable financial rating by Standard & Poor's.
A testament to its growing strength and influence, MSIG Singapore has garnered numerous awards for delivering digitally innovative and customer-centric solutions. In 2023, 2022 and 2020, MSIG Singapore was awarded Insurance Asia Awards' Claims Initiative of the Year.
MSIG is a subsidiary of Mitsui Sumitomo Insurance Co., Ltd, and a member of the MS&AD Insurance Group one of the largest general insurance groups in the world with presence in 50 countries and regions globally, 18 of which are in Asia Pacific including all ASEAN markets as well as in Australia, New Zealand, China, Hong Kong, Taiwan, South Korea and India. Headquartered in Japan, MS&AD is amongst the top non-life insurance groups in the world based on gross revenue.
RESPONSIBILITIES
- Assist Senior Vice President, Technical Services to provide actuarial services and analysis to the underwriting, claims, business development, reinsurance and finance managers.
- Introduce best practice actuarial science to the business process including premium rating
- Undertake any other duties as may be assigned.
- Preferably with Actuarial Science, Mathematics or Statistics degree and currently pursuing professional qualifications from the Casualty Actuarial Society/Institute of Actuaries/Institute of Actuaries of Australia
- Should ideally be one to two years from obtaining the professional qualification above
- Knowledge and experience in general insurance actuarial practice especially in areas of premium rating, portfolio monitoring, reserving, risk/financial/capital modelling
- Statistical knowledge
- Good understanding of data, actuarial software and programming languages including analytics and visualisation tools
- Preferably with experience in a consultancy firm or/and general insurance company
- Ideally a minimum of 2 years experience in a general insurance actuarial practice
- Business oriented, able to suggest practical recommendations
- Some general insurance business knowledge
Tell employers what skills you have
Excellent Communication Skills
SAS Programming
Leadership
SAS
Data Analysis
Logistic Regression
Data Management
Quantitative Analytics
Predictive Analytics
Information Technology
Analysis
Leadership Development
Positive Team Player
Clinical Trials
Data Mining
Predictive Modeling
Analytics
self-motivated Team Player
Research
Biostatistics