Actuary Pricing Specialist
1 week ago
This role involves working closely with primary insurers to understand and assist in the appropriate pricing of their reinsurance arrangements. The role requires ensuring the development of a sustainable and profitable portfolio of Life & Health business by leveraging SCOR's global expertise in the Indian market.
Main Responsibilities:
- Collaborate with the India Pricing team to price and document new reinsurance quotation requests in the India market, adhering to a high technical standard and meeting client deadlines.
- Research and improve the quality of actuarial assumptions and support competitive quotations on the India pricing basis.
- Develop product enhancements tailored to the India market, providing innovative support to market managers.
- Coordinate with divisional risk management and actuarial teams on business referrals.
- Support marketing activities and external communication via presentations, client training, etc.
Required Experience and Competencies:
- At least 5 years of relevant experience in Life & Health Insurance in Actuarial Pricing/Products.
- Strong data analytics capabilities, attention to detail, and problem-solving ability.
- Preferably qualified or close to qualification from IFoA or IAI or equivalent.
- Effective interpersonal skills, ability to manage competing tasks, meet deadlines.
- A self-starter with the right cultural attributes to enhance SCOR's reputation in the market.
- Proficiency in MS office and office applications like R.
- Strong communication skills (both verbal and written).
- Ability to work in a small client-oriented team and collaborate to optimize SCOR's position.
- Prior experience with a reinsurer or actuarial consulting will be an added advantage.
Required Education:
- Bachelor's or master's degree in any analytical discipline such as Mathematics, Actuarial Science, Statistics, Engineering, etc.
- Qualified or close to qualification from IFoA or IAI or equivalent.
- Any certification or degree in data Science/Analytics would be preferred.
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