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- Contribute to planning and executing risk model updates, with a focus on continuous improvement in data and processes.
- Collaborate with various teams and stakeholders to understand their needs, data requirements, and anticipated modeling outcomes.
- Engage directly with data, from its source through modeling stages, and ultimately in rating implementation.
- Develop and validate statistical models and machine learning algorithms.
- Strong expertise in statistical modeling methods, particularly Generalised Linear Models (GLMs).
- Familiarity with machine learning techniques, especially Gradient Boosting Machines (GBMs).
- Proficient in programming languages such as Python, SQL, SAS, or similar.
- Experience with Willis Towers Watson software, such as Radar or Emblem.
