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Location: Shanghai, NA, China
Salary: £0 per year
Overview
This role focuses on actuarial modelling to support pricing, reserving, capital and risk management activities. You will develop, maintain and enhance actuarial models, ensure robustness of methodologies, and provide clear insight to stakeholders through analysis and reporting. The position requires strong technical capability, disciplined model governance, and the ability to communicate complex results in a practical way.
Key Responsibilities
- Build and maintain actuarial models for pricing, reserving, profitability and capital assessment.
- Perform experience analyses, assumption setting, and sensitivity and scenario testing.
- Support regulatory and internal reporting, including documentation of methodology and results.
- Implement model controls, validation checks, reconciliation processes and change logs in line with model governance.
- Translate business questions into modelling solutions and present findings to technical and non-technical audiences.
- Collaborate with risk, finance, underwriting and data teams to improve data quality and modelling efficiency.
- Automate workflows and improve performance of existing tools and models where appropriate.
Requirements
- Degree in Actuarial Science, Mathematics, Statistics, Economics, Engineering or a related quantitative discipline.
- Progress towards, or attainment of, a recognised actuarial qualification (e.g. IFoA or equivalent).
- Proven experience in actuarial modelling within insurance and/or reinsurance.
- Strong knowledge of actuarial techniques for pricing, reserving and capital modelling.
- Advanced skills in Excel and at least one programming language (e.g. Python, R, VBA or SQL); experience with actuarial modelling software is advantageous.
- Understanding of model risk, validation and controls; ability to produce clear documentation.
- Excellent analytical skills, attention to detail, and sound judgement under time pressure.
- Strong communication skills in British English; able to explain assumptions, limitations and impacts.
Desirable
- Exposure to regulatory frameworks and reporting requirements relevant to actuarial work.
- Experience with stochastic modelling, economic scenario generators, or IFRS 17-related methodologies.
- Experience working with large datasets and building reproducible analysis pipelines.
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