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Home / Calendar

Calendar

Find all ASSA scheduled activities, events, course and exams below in our calendar.

Calendar

Use the filters on the right to find what you are looking for. Full date schedules are available for download below the calendar.

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August 2026
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National Women's Day
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Sessional
ASSA Presents: Anthony Asher Virtual
Sessional
ASSA Presents: Anthony Asher
Start: Thu August 13, 2026
Location: Virtual

South Africans in the formal sector face complex financial choices that often require unattainable literacy or costly advice. A major flaw in current retirement planning is the heavy reliance on equity markets, which exposes individuals to complex investment and longevity risks.

Based on a paper for the Australian Actuaries Institute, this session presents a framework for evaluating how the system fails to manage risk. Drawing on market organisation literature and control systems engineering, it advocates alternative approaches, specifically, recognising decision-making heuristics and separating optimisation from stabilisation processes.

Presenter: Anthony Asher, former head of Wits’ actuarial program and current active retirement researcher at UNSW and Chair of PPS Mutual in Australia.

Date: 13 August 2026
Time: 12h00 – 13h00
RSVP deadline:  12 August 2026
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Sessional
Micro Insurance Sessional Virtual
Sessional
Micro Insurance Sessional
Start: Wed August 19, 2026
Location: Virtual

Time: 16:00 – 17:00

Africa has become a proving ground for some of the world’s most innovative embedded and digital insurance models. Drawing on Inclusivity Solutions’ experience as an infrastructure-as-a-service insurtech operating across multiple African markets, this presentation shares practical lessons on what drives uptake, what fails, and what the data tells us about how low-income consumers engage with insurance delivered through digital and embedded channels. Jeremy Leach, Founder and Executive Director of Inclusivity Solutions, will reflect on the experience around enabling scalable distribution, the critical importance of claims experience in building trust, and what AI is beginning to make possible. The session offers an honest assessment of progress, persistent barriers, and where the next frontier of inclusive insurance on the continent lies.

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Sessional
An Introduction to Machine Learning for Actuaries Virtual
Sessional
An Introduction to Machine Learning for Actuaries
Start: Tue August 25, 2026
Location: Virtual
Opening the Black Box: Machine Learning for Actuaries
Machine learning is often seen as a mysterious “black box”, but it doesn’t have to be. This session is aimed at actuaries at all stages of their careers, from graduates who are new to the topic to more experienced actuaries who would like a clearer understanding of how machine learning could be used in their work. Join us for a practical introduction to what machine learning is, the business problems it can help solve, and why data is at the heart of every model. Through a simple worked example, we’ll bring the concepts to life. No previous machine learning experience required.
Time: 12:00 – 13:00

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Sessional
Women’s Month Lunchtime Talk with Dr Marjorie Ngwenya Virtual
Sessional
Women’s Month Lunchtime Talk with Dr Marjorie Ngwenya
Start: Fri August 28, 2026
Location: Virtual
This Women’s Month, join ASSA and the Actuarial Women’s Committee (AWC) for an inspiring virtual lunchtime session with Dr Marjorie Ngwenya! At ASSA, we are dedicated to actively transforming and diversifying the actuarial profession, building an inclusive community where every actuary is empowered to lead, innovate, and thrive. As the first African-based and third female President of the Institute and Faculty of Actuaries (IFoA), Dr Ngwenya’s trailblazing journey from technical roles to board directorship and executive coaching embodies the future of our profession.
Time: 12:00 – 13:30
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Schedule Downloads

Date
Author
Content Practice Exams (CPE) Dates S2 2026
2026
Download
Exam Timetable
2026
Download
Normative Skills Dates Session 3
2026
Download
ASSA Registration Dates S2
2026
Download