Insurance
How insurance works, and the finance, marketing, data and AI that run it.
Insurance is the business of pricing and pooling risk, then paying claims from reserves and investment income. From underwriting to the combined ratio, this vertical gives you the big picture, then finance, marketing, data and AI applied inside it.
Key terms
Why specialize in Insurance?
Cross-cutting skills are not enough in the Insurance sector. It plays by its own rules: a distinct value chain, specific players and balance of power, dense regulation, and key figures you won't find anywhere else. This vertical gives you that sector fluency — first the big picture, then finance, marketing, data and AI applied concretely to Insurance, with the calculations, benchmarks and checklists you actually need on the ground.
What you'll be able to do
- Understand how the Insurance sector works: value chain, key players and balance of power
- Know the major regulations and laws, the sector's acronyms and vocabulary
- Run the key calculations and read the benchmarks specific to Insurance (US and Europe markets)
- Apply finance, marketing, data and AI to the realities of Insurance
- Gauge your level with 5 sector assessments and a competency radar
65 lessons across 16 modules and 5 blocks, with a test per lens and a sector competency radar. Free to read — no account required.
Curriculum
Insurance: how the sector works
Generalhow insurance works: pooling and pricing risk, the underwriting-claims cycle, life vs P&C vs health, reserves and reinsurance, and float.
4 Modules · 13 Lessons
Finance in insurance
Financeinsurance finance: the combined ratio, loss reserves and their uncertainty, the role of investment income and float, and solvency capital.
3 Modules · 13 Lessons
Marketing in insurance
Marketinginsurance marketing: distribution (agents, brokers, direct), trust and claims experience, price comparison, and retention in a low-engagement product.
3 Modules · 13 Lessons
Data in insurance
Datainsurance data: actuarial and claims data, telematics and new risk signals, fraud detection, and the governance and fairness of pricing models.
3 Modules · 13 Lessons
AI in insurance
AIAI in insurance: risk pricing, claims automation and fraud, underwriting assistance, and the fairness/regulatory constraints on models.
3 Modules · 13 Lessons