Donal McGinley

MSc, FSAI

Consulting Actuary

Dublin, IE

Donal McGinley is a consulting actuary in Milliman's Dublin office. He joined the company in 2008.

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Experience

Donal’s experience is primarily in the life assurance field in both the Irish domestic and cross-border life assurance markets. He has worked with the Actuarial Function for a range of companies, including unit-linked and variable annuity writers. He has worked with both direct writers and reinsurers.

Donal’s expertise includes valuations and financial reporting, developing, maintaining, and validating actuarial modelling systems, capital modelling, model validation, financial projections, and other consulting work.

He has designed, developed, and reviewed numerous financial projection models in Python, Prophet, and Excel on both a deterministic and stochastic basis.

Donal has been involved in a range of projects, including M&A transactions and portfolio transfers. He has worked on numerous model validations across a range of different types of models, including Solvency II reporting models, ALM models, and Economic Scenario Generators.

He has written papers and delivered presentations to various industry audiences on topics such as data science, machine learning, and actuarial modelling using the Python programming language.

He is also a member of the Data Analytics subcommittee of the Society of Actuaries in Ireland.

Professional Designations

Fellow of the Society of Actuaries in Ireland

Education

MSc in Actuarial Science, Heriot-Watt University, Edinburgh, UK

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Publications

Read their latest work

Article

Python and Numba

15 April 2025 - by Jim Brackett, Chad Schuster, Donal McGinley, Corey Grigg, Kshitij Srivastava

We review how Numba, a technology for transforming Python code to native machine code, can help accelerate processing to help insurers deliver value.

Article

Automatic report generation: Investigating automated reporting systems

27 December 2021 - by Donal McGinley, Joseph Sloan

Insurers can save time by generating automated actuarial reports using open-source tools such as Jupyter Notebook and Python.

Article

The Rise of Python: Powerful, robust calculation software

24 May 2021 - by Donal McGinley

Why are actuaries started using Python programming language? Learn more in this briefing note.

Article

Structuring an effective model risk management and validation framework

06 April 2021 - by Donal McGinley, Cormac Gleeson, Matthew McIlvanna, Eóin Stack

In this briefing note, we look at how organisations can structure their model governance framework and provide some ideas on how actuaries can consider the new section of ASP-PA2, in relation to model governance to ensure that they are meeting the standard.

Article

Use of internal data in insurance

04 June 2020 - by Donal McGinley, Bridget MacDonnell, Eamon Comerford

This briefing note gives a high-level overview of how insurers can make better use of internal data to gain insight and drive competitive advantage.

Donal McGinley

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Experience

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Read their latest work

Python and Numba

Automatic report generation: Investigating automated reporting systems

The Rise of Python: Powerful, robust calculation software

Structuring an effective model risk management and validation framework

Use of internal data in insurance

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Donal McGinley

Experience

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