Insurance Underwriting
Decision support for underwriters that consolidates submission data, risk signals and guidelines into one consistent view.
Risk Assessment
Quantify risk with transparent, governed analytics
Quantitative risk assessment and pricing analytics combining internal experience with external data.
The problem
Why this matters
Pricing and risk selection depend on how well an insurer can measure risk at the individual and portfolio level. External data sources and modern modelling techniques can improve that measurement — but only with rigorous validation, governance and explainability.
Common challenges
- Limited granularity in traditional rating factors
- Integrating external data while respecting privacy and fairness
- Model governance and regulatory scrutiny
- Accumulation and concentration risk visibility
Our approach
How we work
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Frame the question
Agree the decision the analysis supports and its constraints.
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Assemble data
Combine internal experience with appropriate external data.
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Model and validate
Develop transparent models with out-of-time validation.
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Operationalise
Deploy with monitoring and governance.
Capabilities
What our risk assessment work covers
- 01
Risk scoring models
GLM and gradient-boosted models with interpretability.
- 02
External data evaluation
Assessment of the lift and compliance of third-party data.
- 03
Geospatial risk
Location-based hazard and exposure analysis.
- 04
Accumulation analysis
Portfolio concentration and scenario analysis.
- 05
Fairness testing
Analysis of proxy discrimination and disparate impact.
- 06
Model governance
Documentation, validation and monitoring frameworks.
Engagement
Deliverables and benefits
What you receive
- Risk model with validation documentation
- External data assessment
- Monitoring dashboards
- Governance procedures
What it changes
- More granular understanding of risk
- Defensible, explainable models
- Better portfolio visibility
Standards & technology
FAQ
Frequently asked questions
Can you work alongside our actuarial team?
Yes. Our work is designed to complement actuarial expertise, providing engineering, data and modelling capacity.
Discuss your risk assessment requirements
Let’s discuss it. Tell us what you are working on and an engineer — not a sales script — will respond.