| ||Amanda Aitken |
Amanda is a Director at Actuarial Edge; specialising in general and health insurance, self-insurance and data analytics. Her background is in workers' compensation, where she used her analytical skills to uncover scheme trends and develop initiatives and strategies to improve scheme outcomes.
Amanda considers herself to be a Data Detective; hunting through data to unearth the best opportunities for her clients. She particularly enjoys putting her actuarial skills to use in new ways. Amanda has been involved in a variety of analytical projects, ranging from forecasting membership profiles of sporting clubs, investigating staff retention rates and building remuneration optimisation models.
| ||Chris Dolman |
Chris Dolman has wide ranging insurance industry experience, having worked across multiple countries as both an advisor and in industry, in both traditional and non-traditional roles. He is currently GM, Analytics at IAG, helping to drive data driven decision making across all aspects of the organisation.
| ||Hugh Miller |
Hugh is an actuary at Taylor Fry, where he has worked since 2006 undertaking work for both Analytics and General Insurance. Over the past few years he has had a particular focus on government social services, including the annual valuation of the New Zealand Welfare system. Hugh is also a keen researcher, completing his PhD in statistics at the University of Melbourne in 2010. Topics of interest include combining approaches from statistics and actuarial science, as well as developing methods for individual level modelling of actuarial problems.
| ||Alex Rowley |
is a senior manager within EY’s Actuarial Services team, a team where
he has had various roles since taking on a graduate position
approximately 10 years ago. His focus is on the application of
quantitative and numerical skill sets to solve a variety of complex
business problems. To achieve this he has used and deployed a wide
variety of statistical, analytical and machine learning algorithms to
manage risk or improve performance. Alex’s experience has predominantly
been in the government and financial services sectors. Within
government, this has included areas as diverse as defence, education,
health, justice and child protection. Over the last couple of years, he
has spent the majority of his time focusing on the justice and health
sectors. Alex is a Fellow of the Institute of Actuaries of Australia.
| || Angat Sandhu |
is a Principal based in Oliver Wyman’s Sydney office. In this role, he
works in depth with major banks and insurers in Australia and Asia on
complex engagements, helping organisations fine-tune their strategy in
response to changing economic, regulatory and competitive dynamics.
to joining Oliver Wyman in 2007, he worked in the Funds Management
Group at Macquarie Bank and as a research analyst at Towers Watson.
Angat holds a Bachelor of Commerce (Actuarial Studies and
Finance) from the University of New South Wales. He is a holder of the
right to use the Chartered Financial Analyst® designation, is an
Associate of the Institute of Actuaries of Australia, and holds the
Financial Risk Manager (FRM) designation.
| ||Ada Tong |
Ada is an analytics and data science consultant with 10
years of experience across multiple industries in both Australia and
Hong Kong. She is passionate about using data to help businesses make
better decisions. She is currently working for Quantium, helping
businesses make data-driven decisions with exciting new datasets. She
has just returned from a three year stint in Hong Kong where she led the
Modelling & Insights team at Asia Miles. Her team analysed customer
behavior to drive better customer experiences and business outcomes.
She also spent a year working for various Asian fintech startups. In her
spare time, she started the Hong Kong Analytics Community, a
networking group for analytics professionals in the city. Ada is excited
about the contribution actuaries can make to data analytics and the
data science world.
| ||Alan Whitelock-Jones |
Further to his Actuarial studies, Alan studied computer
science at University as an extra subject. He was interested in
computing and programming and it gave him the ammunition to persuade the
Dean of the Faculty to let him drop finance from his degree (which he
thought boring but he didn’t tell him that).
While working after university he tried to program himself
out of having to do anything repetitive, mostly with spreadsheet macros,
but also using other programming languages at work. His favourite
language being APL for the ability to get the most done with the
shortest code. He once programmed a 50 page premium rate book as a
single line of code.
He moved into actuarial modelling working for Classic
Solutions (later Tillinghast and Towers Watson) developing the MoSes
modelling platform and helping clients implement models.
Alan did a machine learning course on Coursera because he
was interested in the algorithms. This is only loosely related to data
analytics as it was mostly about algorithms to drive cars and read
characters, but he was persuaded that data analytics was fun and he
already knew more than the average would-be data analyst so would find
the transition easy.
He has recently completed all the John Hopkins University’s
Data Science Specialisation courses on Coursera while putting his skills
to use at work.
Bernard Wong PhD
Bernard is an Associate Professor at the University of New South Wales (Australia). He is currently the Accreditation Actuary and Director of Actuarial Programs at UNSW, where he also develops and teaches courses in enterprise risk management and data analytics for actuaries. Bernard is a Fulbright Scholar, and a Fellow of the Institute of Actuaries of Australia.
| || |
Aaron was a physicist and is now an actuary and Principal at Finity experienced in general insurance and accident compensation. Recently he has set up and leads Finity’s Big Data practice, also known as Defin’d and is committed to actuaries in analytics playing a further significant role in this space. He is a strong believer that actuaries help organisations better understand their businesses, their customers and hence are well placed to help with issues of strategic importance. Actuaries, data and analytics in business problem solutions will only deepen as the world’s generation, retention and ability to interrogate data explodes.
| ||Basem Morris |
Basem is a data analytics actuary at Deloitte. He is a qualified actuary with extensive experience in analytics, banking and insurance. Prior to joining Deloitte, he spent 10 years working in London where he advised some of the largest European, Asian and Australian financial institutions.
Bringing together a unique blend of technical expertise and commercial acumen, he focuses on bridging the gap between analytics and business needs.
He holds a Bachelor of Commerce (Actuarial Studies) from Macquarie University and is a Fellow of the Institute of Actuaries of Australia (FIAA).