Risk & Exposure Analytics
Analyse portfolio data, exposures, claims experience, and risk concentrations to identify key drivers of potential loss.
Risk Analytics, Structuring, and Advisory
Understand Your Risk
Structure Your Cover
We combine data, analytics and specialist expertise to identify risks, model potential losses and design insurance programmes aligned with your risk appetite and business objectives.
Risk And Portfolio Analytics
Tailored Reinsurance Structures
Strategic Risk Advisory
What Is Risk Analytics, Structuring, and Advisory?
Understanding Risk Analytics, Structuring, and Advisory
Risk Analytics, Structuring, and Advisory combines exposure analysis, portfolio modelling and reinsurance expertise to help insurers evaluate risks and develop risk transfer strategies, supporting decisions on retention, capacity, limits, pricing and programme structure.
What Does It Cover?
- Risk & Exposure Analytics
- Portfolio Modelling
- Reinsurance Structuring
- Retention & Capacity Analysis
- Programme Optimisation
Example:
An insurer with a growing property portfolio wants to optimise its catastrophe protection. We analyse its exposure concentrations, historical losses, and risk appetite, then recommend suitable retentions, limits, and reinsurance structures to support effective risk transfer.
Coverage Components
Comprehensive Risk Analytics, Structuring & Advisory Solutions
Reinsurance Structuring
Develop tailored treaty and facultative structures based on portfolio characteristics, risk appetite, and capacity requirements.
Portfolio Optimisation
Evaluate existing reinsurance programmes to identify opportunities for improved protection, efficiency, and risk transfer.
Retention & Capacity Advisory
Support decisions on appropriate retentions, limits, capacity requirements, and programme deployment.
Scenario & Loss Analysis
Assess potential financial outcomes across different loss scenarios to support reinsurance programme decisions.
Advisory Support
Turn Risk Insights Into Better Reinsurance Decisions
We combine analytics, structuring expertise and market knowledge to help insurers develop reinsurance strategies aligned with their portfolios.
- 1.
Portfolio Risk Assessment
Review portfolio composition, exposure concentrations, claims experience, and key risk drivers.
- 2.
Data & Exposure Analysis
Analyse relevant portfolio and exposure data to develop meaningful risk insights.
- 3.
Reinsurance Structure Design
Develop appropriate treaty, facultative, retention, and limit structures.
- 4.
Market & Reinsurer Advisory
Support market discussions and placement strategy to align the programme with available reinsurance capacity.
- 5.
Programme Review & Optimisation
Continuously assess portfolio changes and programme performance to identify opportunities for refinement.
Make Every Reinsurance Decision More Informed
We help insurers use risk analytics and structured advisory to build efficient reinsurance programmes that balance protection, capacity, retention, and portfolio objectives.
Frequently Asked Questions
Answers to Common Insurance Queries
Portfolio analytics can identify loss volatility, exposure concentration, catastrophe accumulation and severity patterns, providing a quantitative basis for determining retention, attachment points, limits and layers.
Loss modelling can help assess the probability and severity of potential losses under different scenarios, enabling cedants to evaluate the level of risk retained versus transferred through reinsurance.
Equirus Raghnall combines exposure data, claims experience, portfolio analysis and market intelligence to develop recommendations around retention, programme structure, capacity allocation and market approach.
Equirus Raghnall can assess portfolio performance, risk appetite, capital requirements, market capacity and programme efficiency to support decisions on restructuring, renewal strategy and long-term risk transfer.
