Announcement: SOA releases passing candidate numbers for July 2019 Exam P.

Agenda

Wednesday, August 29
7:00 a.m. – 8:00 a.m.

Session Coordinator(s)

Facilitator(s)

8:00 a.m. – 8:10 a.m.

Presenter(s): Questor Ng, FSA, Chief Risk Officer, FWD Life Insurance Company (Bermuda) Limited

Session Coordinator(s)

Facilitator(s)

8:10 a.m. – 9:00 a.m.

Presentation(s): View Presentation

Presenter(s): Raymond Tam, FSA, Executive Director, Policy and Development Insurance Authority

Session Coordinator(s)

Facilitator(s)

9:00 a.m. – 9:50 a.m.

Presentation(s): View Presentation

Presenter(s): David Wang, FSA, FIA, MAAA, Principal in the Seattle life practice of Milliman; Janice Wang, ASA, CERA, Actuarial Associate, Milliman

How predictive analytics can benefit enterprise risk management, with a specific application to policyholder behavior risk will be discussed. This session will focus on identifying risks related to policyholder behavior and setting up procedures for active monitoring and management of those risks. The case study considered will relate to risks among variable annuities, but the topics addressed will relate to all insurance products. After the session, attendees will know ways in which predictive analytics can benefit ERM as it relates to actuarial assumptions and associated risks.

Session Coordinator(s)

Facilitator(s)

10:10 a.m. – 11:00 a.m.

Presentation(s): View Presentation

Presenter(s): Marc Sofer, FFA FIAA, MBA, Head of Data and Strategic Analytics - Asian markets, RGA Reinsurance Company

This practical business focused session will provide an overview of the different types of data science projects being worked on across the globe, go through real life cases highlighting learnings and outline considerations for the implementation of data science solutions.  Case studies will include cross-sell/up-sell applications, underwriting triage, the use of alternative data sources, streamlined underwriting, agency force management and fraud risk management. Attendees will hear about the different ways advanced analytics are being used within the life insurance industry and learn about successes and failures  

 

Session Coordinator(s)

Facilitator(s)

11:00 a.m. – 11:50 a.m.

Presentation(s): View Presentation

Presenter(s): Travis M Short, FSA, Data Innovation Lead, Pacific Life Re

How do companies and actuaries supplement current skills and talent across teams to address predictive analytics into the future? This session will cover both how to ‘upskill’ as actuaries through SOA offerings and beyond, scoping tools and team structuring to get ahead through predictive modeling.

  • Upskilling actuaries into the ‘data science’ space
  • Pandas, Python, and Hive … oh my! Where to begin with tools and software?
  • Who does what and the value of domain knowledge as an actuary?

With data science as a hot topic, actuaries are in a crossroads where past methods of quantification and management of risk are shifting rapidly to additional data sources and techniques. High level analyses are quickly evolving to a plethora of potential information. Beyond managing risk, do actuaries have the background and training to contribute to analytics across the ‘full stack’ of insurance and risk management? This session helps actuaries with practical advice on focusing their efforts to learn predictive analytics, how companies might structure teams and tools/resources to consider.

Session Coordinator(s)

Facilitator(s)

11:50 a.m. – 1:00 p.m.

Session Coordinator(s)

Facilitator(s)

1:00 p.m. – 1:50 p.m.

Presentation(s): View Presentation

Presenter(s): Jingyi Zhang, Ph.D, Data Scientist, RGA Reinsurance Company

The session will provide an overview of the various modelling techniques available e.g. artificial intelligence/machine learning, how data scientists choose which algorithms to use, how actuaries can get involved in data science projects and experience sharing of predictive analysis applied across the value chain of Life insurance products. In addition, it will also describe the different hardware/software packages we use and describe the learning programs we have implemented at RGA.  Predictive modeling is a hot topic now, and starting to help revolutionize the insurance industry. Through the session, the attendees will have exposure to the popular predictive modeling techniques and methods, and to gain the knowledge of data science projects set-up.

Session Coordinator(s)

Facilitator(s)

1:50 p.m. – 2:40 p.m.

Presentation(s): View Presentation

Presenter(s): James Lin, FIAA, Senior Manager and Marisa Li, Senior Associate, E&Y Hong Kong

Session Coordinator(s)

Facilitator(s)

2:40 p.m. – 3:00 p.m.
3:00 p.m. – 3:50 p.m.

Presentation(s): View Presentation

Presenter(s): Eileen Burns, FSA, MAAA, Principal in the Seattle Life insurance consulting practice of Milliman

The Actuarial Standards Board and others have worked to expand guidance for actuaries using predictive analytics to ensure associated risks can be identified and mitigated. This session will cover the Actuarial Standards of Practice (ASOP) that apply to predictive analytics as used by actuaries. The ASOPs discussed will include credibility procedures, modeling (exposure draft), setting assumptions (exposure draft), and data quality.

Session Coordinator(s)

Facilitator(s)

3:50 p.m. – 4:00 p.m.
4:00 p.m. – 5:30 p.m.