Comprehensive Curriculum
Learn how pricing engines are built end-to-end—with methods you can apply across insurance and more—measure and improve customer conversion, avoid the pricing traps that quietly destroy margin, and ensure ethical fairness for all customer.
Hands-On Learning
Hands‑On Learning – Build conversion and elasticity models with GLMs, GBMs, and hybrids, then create your own optimisation engine using industry-grade datasets, Python notebooks, and guided exercises you can reuse.
Expert Guidance
Expert Guidance – Get step‑by‑step frameworks to design your own pricing engine, challenge black‑box vendor models, and make defendable pricing decisions in a regulated environment.
About the Course
Designed for insurance and FinTech professionals, this course is tailored for Pricing & Actuarial Analysts, Data Scientists, and aspiring pricing professionals. You will learn to build modern and classic retail pricing engines, understand conversion, elasticity, and optimisation in practice. No prior pricing specialization is required, but basic Python knowledge is recommended.
Meet Your Instructor
I'm Cosimo, passionate about cracking pricing models, optimisation puzzles, and uncovering winning strategies in Python. Join me to go beyond black-box tools and build engines you fully understand and control.
Curriculum
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1
Intro
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2
1. Pricing Foundations
- Underwriter vs Brokers Free preview
- Exercise1 Free preview
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KPIS
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Exercise2
- Introduction to Elasticity Free preview
- Exercise3 Free preview
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Key Takeaways
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Summary
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Key understanding
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3
2. Data
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Data Fundamentals
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Exercise4
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Elasticity & Price Testing Revisited and Data Checks
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Exercise5
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Key Takeaways
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Summary
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Key understanding
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4
3. Modelling
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Introduction to modelling and GLMs
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Exercise6
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The Final Price Dilemma & Elasticity Checks
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Feature Engineering
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Exercise7
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Masterpiece of Machine Learning: GBM
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Hybrid Techniques
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Exercise8
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Exercise9
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Key Takeaways
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Summary
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Key understanding
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5
4. Optimisation
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Introduction to Optimisation & Individual Optimisation
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Exercise10
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Rating Factor Optimisation and Approximation
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Exercise11
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Key Takeaways
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Summary
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Key understanding
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6
5. Rating Factors
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Traditional Insurance Methods: Rating Factors
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Exercise12
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Key Takeaways
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Summary
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Key understanding
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7
6. Customer Value
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Pricing, an Ethical Decision & Fallback Plan
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Exercise13
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Key Takeaways
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Summary
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Key understanding
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8
Final Thoughts
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Looking Ahead: Applying What You’ve Learned
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Ready to Elevate Your Pricing Skills?
Enroll now and gain the knowledge and confidence to design your own pricing engine and make impactful pricing decisions in the insurance industry.
£200.00