Working as an Analyst in the Actuarial team at UK General will give you a unique opportunity to gain real pricing experience at one of the UK’s leading MGAs.
You will have daily exposure to multiple personal lines products and the opportunity to produce meaningingful analysis and insight in a fast moving and dynamic environment.
The role will include presenting your analysis and results to senior mangement and therefore involves the opportunity to influence pricing decisions across the business.
Main activities and tasks
- Extract and cleanse raw data from our data warehouse and other sources.
- Analyse data using the latest statistical techniques to identify claims trends and predict future performance.
- Maintain good relations with key stakeholders, identifying their requirements and keeping them up to date with actuarial and product performance developments.
- Provide pricing recommendations that drive profitable sales and minimise UK General’s exposure to losses.
- Use and develop profitability models to monitor ongoing product performance and predict financial benefits of new product lines.
- Produce reports outlining findings and communicating key results to stakeholders
- Develop and maintain a deep knowledge of the UK General business model, the environment in which it operates and the products and services UK General provides
Required skills and experience
- An extremely motivated candidate who is keen to develop their technical and commercial understanding of the insurance industry.
- Strong analytical and numerical background.
- Can communicate complex ideas and results to both a technical and a non-technical audience with confidence.
- The capacity to use data mining and statistical software packages, experience in R or SAS would be preferred, but not essential.
- Broad understanding of personal lines insurance pricing from both a customer and risk pricing perspective.
- The ability to use Excel to manipulate and analyse data, produce meaningful reports and results.
- Basic understanding of key statistical techniques used in insurance pricing such as GLM modelling and price optimisation.
- Ability working effectively both within a team environment and independently.
Required education and qualifications
Degree level educated in a numerate subject or equivalent (2:1 or above) .