Topic
Techniques
Deep dives into individual pricing methods: DML, conformal prediction, credibility, copulas, spatial models, GAMs, normalising flows, and more.
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Topic
Validation
Empirical tests of whether specific methods deliver in insurance practice. Gini scores, calibration, and failure modes reported without softening.
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Topic
Comparisons
Head-to-head evaluations of generic ML libraries versus insurance-specific tools. When a general library breaks on insurance data and what to use instead.
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Topic
Regulation & Fairness
FCA Consumer Duty, PRA SS1/23, proxy discrimination, and model risk governance. Regulatory requirements translated into audit-ready Python code.
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Topic
Monitoring
Model drift, champion/challenger testing, and performance degradation in live pricing. From PSI and A/E ratios to sequential testing and covariate shift correction.
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Topic
How-To
Short practical guides: one-way analysis, Gini, factor tables, burning cost models, GLM reproduction, and common tasks currently done in Excel.
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Topic
Getting Started
Starting points for UK pricing teams moving to Python, evaluating the toolkit, or rebuilding a workflow. Pipeline guides, Emblem migration, Python vs R.
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