DescriptionData Scientist and Risk Modeler to work on global development team which builds analytical tools and technology (Core Analytics) which empower our brokers, client service teams and clients. Project teams focus on research and actuarial analysis, concept creation, tool development and enhancement, and the corresponding service and training content for scalable use. These models vary across all phases of P&C insurable risks as well as less traditional risks across the entire enterprise risk spectrum and risk tolerance.
The Role
- The Data Science and Risk Modeling Analyst will work on project teams focused on creation and adoption of scalable analytical models for the Commercial Risk & Broking Segment within Willis Towers Watson. Duties include, but are not limited to:
- Work within specific actuarial/analytical work streams
- Reconciling and analyzing data
- Coding in languages such as R for scalable model delivery
- Provide risk and predictive modeling analyses
- Research and Development on various elements of risk, modeling concepts, data evaluation and manipulation
- Collaborate with IT professionals on project delivery
- Training and interaction across the brokerage community
- Ability to work both independently and collaboratively on various analytical work streams