Topic Listing

Data science

The data science gap

Research highlights the need to expand knowledge in the profession

Data science

Positioning the profession for the data science revolution

Peter Knowles of specialist recruitment agency, IGA Talent Solutions*, on the demand for a new breed of actuary in insurance

Data science

The rise of the ‘citizen developer’: empowering actuaries with data science

Affiliate member and CEO of Reitigh Software Limited, Brian Walsh, describes the dangers and opportunities as actuaries get to grips with new tools.

Data science

Ethical conflicts: when do the ends justify the means?

Murray Lidgitt of the IFoA’s Professionalism, Regulation and Ethics Working Party explores the ethical considerations that actuaries face

Data science

Navigating the seas of actuarial insight: a journey into data availability

The IFoA’s Data Availability in Health and Care Working Party shares its recent outputs and exciting developments to come.

Data science

Designing reward functions: reinforcement learning

Disha Dagli, of the IFoA’s Professionalism, Regulation and Ethics Working Party, sets out some of the considerations for reinforcement learning and reward functions

Data science

What impact will AI have on risk pooling?

Nick Reilly, of the IFoA’s Professionalism, Regulation and Ethics Working Party, delves into some considerations for risk pooling in the age of AI

Data science

Your chatbot, your responsibility?

Hazel Davis, of the IFoA’s Professionalism, Regulation and Ethics Working Party, unpacks some of the issues for companies using chatbots.

Climate Change

Data science

Unleashing the power of N-BEATS on the S&P Green Bond Index

With the ongoing focus on ESG and data science, the IFoA’s Data Science, Sustainability and Climate Change Working Party continues its theme of marrying these fields

Data science

Learning

Data Science Certificate case studies: Min Liang

Min Liang is a Senior Risk Manager at Aviva Singlife in Singapore where he leads the Group Enterprise Risk Function. He explains how he will be taking the techniques he learnt on the Certificate in Data Science course back to his workplace.