APAC Pricing Actuary – Data-Driven Reinsurance

PartnerRe; Singapore; On-site; SGD 90,000 - 140,000; Full time

Job summary

PartnerRe is seeking an APAC pricing professional to support non-life P&C pricing and lead end-to-end data crunch with India resources. You will price reinsurance treaty business and participate in discussions with actuaries, underwriters and stakeholders.

The role requires 3–5 years in non-life (re)insurance, familiarity with actuarial pricing theory, and Excel VBA. A numerate degree and professional qualifications are valued, and knowledge of AI in data analysis is a plus.

Qualifications

• 3–5 years experience in non-life (re)insurance pricing.
• Experience with multiple lines of business preferred.
• Understanding of actuarial pricing theory and its limitations.

Responsibilities

• Price reinsurance treaty business, providing transparent technical insight into the business.
• Participate in account discussions with actuaries, underwriters and other stakeholders.
• Participate in market meetings and contribute to the development of market insights.
• Prioritizing and ensuring delivery of final product within the specified timeframe.
• Utilization of PartnerRe actuarial models and understanding of underlying actuarial theory.
• Manage the recruitment, training and task-allocation process with respect to the Asia data crunch team.
• Work closely with the India third party resource to provide holistic data crunch support to the wider PartnerRe Group.

Skills

English

Asian language

Education

Actuarial Science

Data Analytics

Tools

Excel VBA

AI in data analysis

Job description

PartnerRe is seeking an APAC pricing professional to support non-life P&C pricing and lead end-to-end data crunch with India resources. You will price reinsurance treaty business and participate in discussions with actuaries, underwriters and stakeholders.

The role requires 3–5 years in non-life (re)insurance, familiarity with actuarial pricing theory, and Excel VBA. A numerate degree and professional qualifications are valued, and knowledge of AI in data analysis is a plus.