Overview
Key Responsibilities (including but not limited to):
1. It involves data extraction, analysis and modelling across the portfolio of retail products/perils.
2. This role involves collaboration with other teams; strong communication skills required.
3. The role resides within the technical pricing and underwriting team and wider commercial team working alongside retail pricing experts, data science and product deployment.
4. As part of pre-deployment analysis, you will support management with the analysis or rate impact calculations. Monitoring rates and determining appropriate action is also necessary.
Qualifications required:
5. High quality (2:1 or above) mathematics (data science/Actuarial science also considered)
6. Actuarial science background (beneficial – study support provided)
Experience required:
7. Pricing analytical skills (essential)
8. Personal Lines risk pricing (essential)
9. Working knowledge with Akur8/Emblem/similar (highly beneficial → borderline essential)
10. Machine Learning/algorithms (beneficial)
11. SQL/SAS – data extraction and analytical expert (essential)
12. Open-source R/Python coding (highly beneficial)