Aleksandra Arrigo

Aleksandra’s experience includes:

• Conducting reserve reviews of various lines of business for an insurer, focusing on both short- and long-tail business, including reserving for large and attritional claims, gross, and net of reinsurance
• Providing key support on multiple reserving projects - investigating each client’s exposure by understanding trends in data, setting methods and assumptions, and explaining results
• Building and analysing an inflation model for commercial lines of business
• Preparing quarterly and annual reports on Solvency II technical provisions and Reserve Committee Packs, presented to senior management
• Performing research into run-off portfolios, Machine-learning, and AI sustainability, as well as reserving trends

Aleksandra is also a member of the Working Group Party on Pensions Gap and Machine Learning by IFoA.