中国太平｜太平再保险-总部-巨灾风险分析精算定价岗支持实习

1. Support individual treaty pricing, portfolio analysis and outward reinsurance modelling. 2. Collect, clean, and validate actuarial, exposure, and catastrophe modelling data from various internal and external sources. 3. Transform and structure data for efficient use in reinsurance pricing models, catastrophe models, and management reporting. 4. Perform data quality checks, identify anomalies, and implement improvements in data governance and documentation.

1. Undergraduate student pursuing degree in actuarial sciences, mathematics, natural sciences, economics or engineering. 2. Strong proficiency in Microsoft Excel (including advanced formulas, data manipulation, and automation). 3. Experience with at least one programming or data analysis language such as Python/ R, or SQL a plus. 4. High attention to detail and commitment to data accuracy. 5. Strong analytical and problem-solving ability, with a logical and structured approach to tasks. 6. Proactive learner able to work independently as well as collaboratively across teams. 7. Effective communication skills to present findings and data insights clearly to non-technical audiences.