Reinsurance Analytics Consultant
- Support and deliver pricing and risk modelling projects for traditional and alternative reinsurance structures, which will build on your knowledge of reinsurance agreements and key reinsurance contract features and will involve:
- Develop a strong, practical understanding of WTW’s Igloo Standard Model including:
- Data input tables
- Model methodologies
- Standard reporting and outputs
- Build an extensive understanding of the Igloo parametrisation tool and its application across client projects.
- Extract detailed model results and interpret Igloo code to support technical diagnostics and enhancement.
- Apply common methods for data ingestion and data output using:
- Python
- Power Query
- Power BI
- Calibrate loss distributions for pricing, capital modelling, and portfolio analysis.
- Apply common reinsurance pricing methods.
- Communicate regularly with client stakeholders including:
- Capital modelling actuaries
- Reinsurance purchase teams
- Reinsurance pricing actuaries
- Underwriters
- Reinsurance brokers
- Capital markets teams
- Understand client needs and translate them into actionable modelling and analytical solutions.
- Support business development activities, including proposal development, thought leadership, and client presentations.
- Work closely with colleagues across the Global Specialty team and other ICT offices.
- Build rapport with our Technology teams to enhance our software, tools, and analytical capabilities.
- Proven reinsurance experience with strong understanding of reinsurance principles, treaty structures, and pricing approaches.
- Technical aptitude and willingness to develop deep expertise in a modelling ecosystem (Igloo, Python, Power BI, etc.).
- Experience with analytical or actuarial work, ideally in pricing, risk modelling, or capital modelling.
- Are natural problem-solvers and self-driven in their learning.
- Enjoy technical, actuarial, and analytical work with a hands-on mindset.
- Bring a “can do” attitude and thrive in a dynamic project environment.
- Are comfortable communicating with clients regularly and building strong professional relationships.
- Are curious, proactive, and eager to explore how technology can enhance client outcomes.
- Are diligent and detail-oriented, but also able to step back and consider the bigger picture.
- Demonstrate strong time management and organisational skills.
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