Join an established a respected organization firm to transform actuarial processes through data analytics, automation and advanced AI capabilities within our life and health business.
Key Responsibilities
- Support life and health experience studies, including mortality, morbidity, lapse and claims analysis.
- Perform data validation, exposure calculations, actual-versus-expected analysis, and investigation of experience trends.
- Apply actuarial and statistical techniques to support assumption reviews and experience analysis.
- Interpret and communicate study findings through reports, presentations and visualisations.
- Develop and maintain actuarial analytics and experience study workflows using Databricks, SQL, Python and PySpark.
- Prepare, reconcile and analyse policy, exposure and claims data, investigating data quality issues and their impact on results.
- Support the enhancement and modernisation of actuarial tools, models and analytical processes.
- Collaborate with actuarial, business and technology teams to deliver scalable and controlled analytical solutions.
- Identify opportunities to improve actuarial processes through automation, workflow optimisation and standardisation.
- Support process improvement initiatives, including process mapping, testing, implementation and user adoption.
- Explore and assess AI and machine learning applications to enhance actuarial analysis and operational efficiency.
- Ensure solutions comply with applicable governance, data privacy, information security and AI risk management requirements.
Job Requirements
- You must hold a degree in Actuarial Science, Mathematics, Statistics, Computer Science or another quantitative discipline.
- You should have made significant progress towards Fellowship of a recognised actuarial qualification.
- You need relevant actuarial experience within the life and health insurance or the company industry.
- You must possess strong technical skills in Databricks, SQL, and Python, with Spark or PySpark experience being advantageous.
- You should have experience working with large and complex datasets to build analytical workflows.
- You must demonstrate the ability to develop or implement AI and machine learning solutions in a business environment.
- You need strong communication skills to explain technical actuarial concepts to diverse stakeholders.
Job Details
