- Contribute to the planning and execution of risk model updates, continuously improving data quality and processes.
- Collaborate with teams and stakeholders to understand their requirements, data needs, and desired modeling outcomes.
- Engage with data from sourcing through to modeling and implementation in rating.
- Analyse data, interpret outputs, and effectively communicate insights to non-technical audiences.
- Strong knowledge of statistical modeling techniques, especially Generalized Linear Models (GLMs)
- Familiarity with machine learning methods, particularly Gradient Boosting Models (GBMs)
- Demonstrated experience working with large datasets
- Proficient in Python, SQL, SAS, or similar programming languages
- Experience with Willis Towers Watson software, including Radar and Emblem