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ACTEX IFoA CP2 Study Manual
1st Edition
Author: Gazzelloni
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Digital: 90-day license - 979-8-89016-673-9 Digital: 210-day license - 979-8-89016-674-6
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CP2 Study Manual – Core Practice 2: Modelling Practice

Prepare for the IFoA CP2 Modelling Practice exam with a practical approach designed to help you work confidently and effectively under timed conditions.

This manual guides you through the key stages of the exam, from organizing your work to developing and presenting a clear, professional response. It emphasizes the importance of a disciplined approach, sound reasoning and effective communication.

Suitable for both first-time candidates and those preparing for another attempt, the manual helps you build a repeatable exam strategy while developing habits relevant to professional actuarial practice.

The manual includes:

  • An overview of the exam structure and mark allocation

  • A step-by-step workflow for managing time effectively

  • Worked examples of common modelling approaches and documentation styles

  • Templates and checklists to support your preparation

  • Practical advice on avoiding common exam pitfalls

About the Author

Federica Gazzelloni

Federica Gazzelloni is a fully qualified actuary with the Ordine degli Attuari in Italy. She has spent some years as an Affiliate of the IFoA, working in a pension research environment. Her experience spans modelling practice, public health metrics and applied data analysis. This work includes academic research and consulting projects, with contributions to the Global Burden of Disease Study at the Institute for Health Metrics and Evaluation (IHME). She has developed R packages for managing complex datasets, designed analytical workflows and communicated results to technical and non-technical audiences in professional settings. 

Federica has a strong interest in reproducible research and structured communication, principles that align closely with the aims of the CP2 examination. She has contributed to various international training initiatives such as The Carpentries and the R Consortium and collaborated on open-source projects developing statistics, health analytics and improving data visualizations.

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