太平再保险-总部-巨灾风险分析精算定价岗支持

Job description

• Support individual treaty pricing, portfolio analysis and outward reinsurance modelling.
• Collect, clean, and validate actuarial, exposure, and catastrophe modelling data from various internal and external sources.
• Transform and structure data for efficient use in reinsurance pricing models, catastrophe models, and management reporting.
• Perform data quality checks, identify anomalies, and implement improvements in data governance and documentation.
• Undergraduate student pursuing degree in actuarial sciences, mathematics, natural sciences, economics or engineering.
• Strong proficiency in Microsoft Excel (including advanced formulas, data manipulation, and automation).
• Experience with at least one programming or data analysis language such as Python/ R, or SQL a plus.
• High attention to detail and commitment to data accuracy.
• Strong analytical and problem-solving ability, with a logical and structured approach to tasks.
• Proactive learner able to work independently as well as collaboratively across teams.
• Effective communication skills to present findings and data insights clearly to non-technical audiences.