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Data science

Videos and audio files of selected webinars and events around Data Science

IFoA members – Please login to the IFoA's Virtual Learning Environment (VLE) and watch the recordings there. You can also access specific recordings by clicking on the individual titles below.

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Certificate in Data Scinece - One year on

In June 2019 John Taylor as President, announced the IFoA would launch its Certificate in Data Science In April 2020. Since then, the IFoA has run three cohorts of examinations and just under 400 members have sat the Certificate in Data Science. In this webinar we catch up with John, and hear from Josephine Robertson, Sam Blanchard, and Charchit Agrawal all of whom participated in the new Certificate, to share how they have applied the knowledge they have gained in their respective workplaces. We will also hear from Philip Darke who will discuss how Data Science is impacting actuarial work, before finally looking at the IFoA’s next developments in data science education.


Data Science in Banking - Opportunities and Risks
December 2020

In this webinar, the speakers discussed developments in various geographic areas and considered ethical issues in data science.
Chair: John Taylor, Immediate Past President. Speakers: Mahidhara Davangere, Pramartha; Phillip Darke; Rendani Mbuvha, University of the Wirwatersrand; Crawford Taylor, Nude Finance

Data Science Webinar Series

Artificial Intelligence in Actuarial Work
Speaker: Nicholas Yeo, Nicholas Actuarial Solutions

This webinar provided insight into the emerging technologies that will interact with the actuarial profession in order to provide a frame of reference for actuaries to use in performing actuarial work, such as AI in motor insurance pricing, in loss reserving, in mortality modeling, in underwriting and in fraud & claims.

Communicating Data Science
Speakers: Chair: Asif John, ARGenesis, Alex Labram, Grant Thornton, Stelio Passaris, FIS

The aim of this webinar was to give actuaries an approach and checklist of considerations for communicating the results, methods, and technical specifics of a machine learning model to relevant parties.

Data Science & AI in Banking Risk Management
Speaker: Mahidhara Davangere, Pramartha

An introduction to Data Science & Artificial Intelligence, changes across the banking sector. 

Machine Learning in Portfolio Management
Speaker: Jiajia Cui Moody's Analytics

In this session, speaker Jiajia presented a case study applying “Q Learning” method in portfolio management optimization.

Next-Gen Insurance leveraging partnerships and advanced analytics
Speaker: Mohit Gupta, AXA

Gives an overview of evolving customer needs, use of advanced analytics across the insurance value chain, considerations to engage in data-driven partnerships, and a glimpse into AXA’s ongoing transformation journey to become a data-driven and tech-led company.

Modular Framework of Machine Learning Pipeline
Speaker: John Ng, Reinsurance Group of America (RGA)

In this presentation John introduced a modular framework of streamlining analytics and machine learning workflow in enterprises.  

The role of data science in customer-centric insurance
Speaker: Michael Storozhev, Cover More Travel

Showcasing ML, AI and Natural Language Processing techniques, this presentation showcased a journey in travel insurance combining external online insights with free text data and help build products that meet expectations of regulators and customers.

Why data science and AI needs us more than ever
Speakers: Dame Wendy Hall,Melanie Zhang, Stuart Coleman, Colin Thores
This session covered some examples of Machine Learning (ML) being used in both traditional actuarial and wider industries, and highlight a few common fallacies that can occur when interpreting the results.

Using Data Analytics for P&C Growth and Profit Optimization
Speakers: Sylvia Pleskot and Calum Thornhill, Swiss Re

This webinar covered the overview of combining portfolio data with external data and looked at the Why? What? How? and discussed some of the latest trends around the world.

Introduction to Data Science MIG- Professionalism, Regulation and Ethics

This webinar provided an overview of research undertaken within the Data Science MIG with focus on one work stream “Professionalism, Regulation & Ethics”. It also gave an overview of the key topics, exploring what TAS 100 means for data science algorithms, why you might need to take more care with data science to avoid breaching regulatory requirements, and which ethical considerations are relevant to data science.

AI: A red eyed terminator or an actuary's best friend?
Speaker: John Taylor, immediate past-President of the Institute and Faculty of Actuaries.

Despite long-running concerns that innovation could lead to widespread redundancy, technology has enabled greater productivity, created higher-value jobs and spurred us on to new heights. With artificial intelligence increasingly automating work undertaken by professionals, I look at the prospects for the actuarial profession in the era of unprecedented technological innovation. Whilst this “double-edged sword” will see some traditional actuarial tasks being automated, I contend it will create more opportunity for actuaries to contribute to a broader range of important issues such as climate change and consumer finances. Moreover, the prevalence of data provides a platform for actuaries to make a difference outside the traditional sectors of insurance and pensions.

How actuaries can optimize usage of data science techniques within their sectors

The world of Data Science continues to exponentially grow with unknown limits and where it can reach. However, without data we will all still face these challenges in our day to day life.

The aim of the event was to demonstrate how we can optimize the usage of data science techniques within the actuarial domain across our sectors covering the following six areas: IFoA Data Science certification program • General Insurance • Life and Health • Insurtech • Ethics & Regulation • Data Strategy in the following sessions available to view on the IFoA's Virtual Learning Environment:

Establishing a Data Strategy:Data Culture, Data Management & Data Risks

Machine learning applications to non-life pricing

General Insurance: Making machine learning techniques interpretable

Data Visualisation in Insurance

Pricing and commercial applications in Life/Health insurance

Capital Proxy Modelling with the use of Machine Learning Algorithms

Enterprise Machine Learning Pipeline

Introduction to Insuretech

The practical applications of IoT in Life Reserving

Machine learning in GI Reserving

Overview of the IFoA Data Science Certificate

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Events calendar

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    We’ve all heard about the gender pay gap. Sadly, the gap doesn’t just exist with base pay.

    Research carried out by Legal & General in 2021 across the four million members in our Defined Contribution (DC) pensions, found that there’s a gender pension gap too, continuing the divide between men and women.

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    23 May 2022 - 24 May 2022

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    We continue to live in a world of global uncertainty. Survival depends on our ability to simultaneously navigate through the diverse root-causes, ranging from: the consequences of Climate Change; transitioning to Net Zero; increased inflationary pressures and supply chain issues; to self-imposed changes in regulatory requirements. CILA 2022 focuses on these challenges to ensure we continue to be informed and remain battle ready, as well as showcasing highlights of recent CMI outputs.

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    In the spirit of fostering the IFoA’s vibrant, global community and enabling our members to participate, we have decided to hold our AGM virtually again this year. This allows for greater accessibility to this important annual event, and for greater accountability of our organisation.

    The Business of the AGM

  • The IFoA Conference 2022

    133 Liverpool St, London EC3A 7BX and Online
    22 June 2022 - 23 June 2022
    Spaces available

    We’re delighted to welcome you back to our first in-person conference since early 2020, also being delivered virtually in our first-ever hybrid event. The theme of our inaugural two-day conference is ‘Focusing on tomorrow’s actuary’ and will explore the contribution actuarial science is making to some of tomorrow’s biggest issues.