The successful candidate will play a key role in developing and maintaining the codebase required for loading, manipulating, analysing, and visualizing mortality/longevity/improvements data, and a suite of forecasting models developed locally and served to business units across the globe
Please read the following job description thoroughly to ensure you are the right fit for this role before applying.
- Location: London
- Category: Research & Development
- Type: Permanent
Key Duties (Including but not limited to):
- Builds and maintains software related to modelling and forecasting mortality rates and future improvements in the markets and geographies in which the Company writes business
- Works with stakeholders across the business to help them understand the tools and models that are on offer, and troubleshoot any issues that arise
- Writes high quality code in R or Python and understands how to structure what they write such that it is readable, maintainable, and reusable
- Works with a range of stakeholders across the organization to understand their needs and prioritize potential projects
- Qualified xwzovoh or part-qualified actuary
- Work (or postgraduate research) experience in an analytical role
- Experience of demographic/biometric research or assumption setting
- Experience of using R or python in a work or research environment
- Exposure to working in and/or with Actuarial teams in the insurance industry
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