3. Discussion Agenda
• 75 minutes in total
• 4 Presentations
• 4 rapid fire polls and Q&A
throughout– wisdom of
the crowd
• 15+ minute panel
discussion with your Q&A
4. Questions & Answers
How to participate:
If you have a question please type into the Q&A area
If you have a comment please type into the chat area
Session format:
The moderator will use a combination of his own questions and those
from the audience
Each presentation will have a Q&A and poll
12. Poll 1
12
Question: When considering both the implications of advancing data capabilities and
growth opportunities in many new markets around the world, how do you think the total
number of actuaries across the industry is going to change?
1. Significant increase
2. Moderate increase
3. Moderate decrease
4. Significant decrease
5. Stay about the same
Participate in poll: Respond to the question when it appears on your screen
15. “ Today we believe actuaries are uniquely placed to help individuals,
businesses and societies look ahead, plan for the long term and
navigate the challenges of the 21st century, that’s why we believe it’s
time for the profession to step out of the shadows.”
Jules Constantinou, President of the IFoA
16. Actuaries and
Technology
Technological advances are
disrupting traditional practices
within the insurance world.
“Will a robot take over my job?”
“Should I become a data scientist?”
This creates exciting opportunities for
actuaries, insurers and new vendors.
Welcome to a world of actuaries and
new technology.
18. Actuaries
Extract, transform and analyse data
Make predictions
Work with mathematics, probabilities & statistics
Estimate expectation of mortality and persistency
Calculate time value of money
Assess risk
Use computers
Make sense of impact of statutory and regulatory requirements
Provide services to Insurers on Insurance, annuities, pensions
Calculate premiums, reserves, dividends
Generally operate within Life, General insurance, Health, Investments and
other
Communicate complex results
Apply actuarial training and professional conduct
Other?
19. • Virtual working
• On demand training
• Personalised Career Management
• Online Tools for collaborating and networking
• And more!
Current generation toolkit
Computer Science
• Data Sources
• Computing Power
• Cloud Computing
• Internet of Things
• Data Manipulation
• Software as a Service
Data Science
• Visualisations
• Statistical
Modelling
• Predictive
Analytics
• Other
Automation
• Robotics Process
Automation
• Low Code/No
Code Automation
• Cognitive
Automation
Off the shelf
or custom-
built
FinTech
InsurTech
RegTech
?
Technology
20. The Actuary’s Modern Day Toolkit
The Challenge and Opportunity
Tailored solutions Automated tasks Insights from data
One of the biggest challenges to employing more of this technology is the expertise required to
develop and implement it.
“ ActuarTech is the name given to a group of technology tools and techniques focused on the actuarial industry. Examples are
advanced cash flow and predictive modelling tools and software. To achieve the goals of reducing costs and unlocking insights in
the data, ActuarTech makes effective use of actuaries’ skills and expertise”. Dupro Advisory
It’s all about the problem statement
21. We Need Your Help...
Building a community of actuaries and domain professionals who are passionate about the future of the
actuarial profession.
Interviews, blog
posts, podcasts
and articles.
Covering a range
of technology
trends
Actuarial software
and
downloadable
educational
information and
materials
Online tool kit
Email info@actuartech.com to learn more
22. “Tech is just such a wonderful opening into the future. I think
everyone should just embrace it. It opens up so much for you…and
we don’t know what’s going to happen. But that’s part of the
exciting thing. We can actually be in there and be part of making it
happen.”
Dame Stephanie
Shirley
The Future ???
23. Poll 2:
23
Question: Which one of the following digital trends do you think is most likely to disrupt /
change the role of the actuary?
1. New data sources transform pricing into a real time discipline
2. Rapid rise of data science as a separate discipline
3. Move to provision of digital services that reduce risk and increased bundling of
insurance in ecosystems
4. Increased capability of technology to automate core actuarial reserving roles
Participate in poll: Respond to the question when it appears on your screen
30. Poll 3:
30
Question: What are the top 3 skills, competencies and mindsets that you think actuaries
will need to strengthen in the years ahead?
1. Ability to apply machine learning and AI
2. Ability to work with technology as partners in the wider sense – IoT, blockchain,
drones, robots
3. Ability to work beyond existing actuarial domains for e.g. genetics, behavioural
finance, climate change
4. Communication skills -especially in emerging social networks
5. Mindset – Adaptability, Curiosity and Growth Mindset
6. Commercial acumen - identification of actionable insights from data analysis
7. Visualisation skills and supporting technologies
8. Digital marketing
9. Applications of data science
10. Coding skills - such as Python
Participate in poll: Respond to the question when it appears on your screen
34. PROFESSION ACTUARY VS DATA SCIENTIST
Actuary Data Scientist
Strengths
Weaknesses
Mentalities/
Constraints:
What influences
approaches?
Tools:
What are standard
skills?
• Specialist insurance domain knowledge
• Robust, methodical and proven approach to solving
common problems in a mature industry with
extensive data and experience
• Natural ability to “think outside the box” in
solving data problems
• Possess the ability to handle unstructured data
such as text, image, audio, video
• Restricted and relatively narrow competencies
(visualization, programming, extracting
information)
• Primarily focus on financial items – less
experience addressing wider issues (e.g.
marketing)
• Lack insurance-centric perspective; limited
understanding of how model results impacts
decisions
• Less systematic and rigorous approach
• Less institutionalized understanding of profession
by non-technical stakeholders
• Standardized, insurance-focused methodologies
• Tend to be users of pre-developed
systems/software
• Stochastic/probabilistic approach to problems,
• Influenced with a “tech mindset”; used to
working with less formal staffing structures
• Typically focused on profession (data science)
rather than a specific industry
• Tend to focus on getting the prediction right at
individual data point
• Problem solving approach driven by training
training/examination syllabuses
• Strong regulatory compliance tendencies
• Tend to have respect for hierarchical
structures
• Tend to focus on getting the average right
• Tend to be systems and data architects/
developers
• Constantly developing algorithms to
developed prediction-focused solutions
Source: PWC
35. PROFESSION THE MODERN DATA SCIENTIST
MATHS & STATISTICS
DOMAIN KNOWLEDGE
& SOFT SKILLS
PROGRAMMING & DATABASE
COMMUNICATION & VISUALISATION
• Machine Learning
• Statistical modeling
• Experiment design
• Bayesian inference
• Supervised learning: decision trees,
random forests, logistic regression
• Unsupervised learning: clustering,
dimensionality reduction
• Optimisation: gradient decent and variants
• Passionate about the business
• Curious about data
• Influence without authority
• Hacker mindset
• Problem solver
• Strategic, proactive, creative, innovative
and collaborative
• Computer science fundamentals
• Scripting language e.g. Python
• Statistical computing package e.g. R
• Databases SQL and NoSQL
• Relational algebra
• Parallel databases and parallel query processing
• MapReduce concepts
• Hadoop and Hive/Pig
• Custom reducers
• Experience with xaaS like AWS
• Able to engage with senior management
• Story telling skills
• Translate data-driven insights into decisions
and actions
• Visual art design
• R packages like ggplot or lattice
• Knowledge of any visualisation tools e.g. Flare,
D3.js, Tableau Source: Medium
36. I like to view myself as a Problem Solver, where
data is my language, data science is my toolkit,
and business results are my guiding force. Some
days I do ‘data science,’ performing exploratory
analyses or building machine learning models.
However, some days, I am more of a management
consultant and strategist, working with business
leaders to make data-driven decisions. Some days I
am even a data engineer, helping on-board new
data sources or architecting our big-data technology
stack. In fact, most days, I am a combination of all
of the above. Such is the life of a problem solver
responsible for all things data.
Source: Jacob Peters, Nine lessons learned
during my first year as a Data Scientist
37. A new breed of business person
proficient in technology, core critical
thinking, and analytics is needed, as
are people who can pull these skills
together with the right domain
expertise and knowledge of business
strategy. Technology will underpin
the transformation; it is a necessary
element, but not the differentiator.
Source: ATKearney
38. Poll 4:
38
Question: How well placed are actuaries to thrive in a digital world?
1. Extremely well placed
2. Well placed with minor skills retraining and refocus needed
3. At risk - there are major structural changes required significant skills retraining and a
move into new roles
4. Marginalised - actuaries are too far behind in adapting and will be marginalised
Participate in poll: Respond to the question when it appears on your screen
40. Post webinar activities
Recording will be emailed to registered participants
Please give us your feedback
If you would like to follow up with any of the panelists
- Simon Phipps: simon.phipps@the-digital-insurer.com
- Elisha Deol: Elisha.Deol@KPMG.co.uk
- Chris Nyce: gnyce@kpmg.com
- Tan Suee Chieh: sueechiehbsn@gmail.com
- Siobhain O’Mahony: Siobhain.OMahony@investec.co.za
- Valerie du Preez: valeriedupreez@dupro.co.uk
Webinar Dates for the Diary
28th March: Blockchain & Insurance- The end, or just the beginning?
30th April: AI Powered Insurers
41. LIVEFEST 2019
What to do now – get
ready?
• Prepare for award entries from
March – InsurTech, Insurers,
Distributors and Established Tech
• Insurers – apply for the LIVEFEST
Knowledge programme (it’s free !)
• In studio global finals on 3rd
December – register interest on site
now (tickets limited) – see the
LIVEFEST ZONE on the main site
• LIVEFEST 2018 session recordings
and summary also available in the
LIVEFEST Zone