Featuring top speakers from companies including ATP, Skandia, PKA and SPP
Livforsakring as well as regulators from all 4 countries, Life and Pensions'
fourth annual Nordic Congress is taking place on Tuesday
8 June 2010 in Stockholm.
This year, key topics will include MCEV, asset allocation strategies,
managing portfolio risk, discount rate and illiquidity premia as well as a
Solvency II overview.
If you are a Nordic-based insurance or pensions professional or involved with
this sector, this is an unmissable event!
Post is delighted to announce the launch of a flagship conference catering
for the entire UK general insurance industry. Comprising a two-day programme of
essential strategic content and a networking dinner, The British Insurance
Summit 2010 will bring together insurers, brokers and service providers to hear
from industry leading speakers and debate the issues affecting our industry as
we emerge from the economic downturn. The agenda for this event will be
thoroughly researched to reflect the most current, business critical issues
facing us all in 2010 and beyond.
Solvency II & Risk Management will give you the opportunity to discuss
the response to Consultation Papers and the progress that has been made towards
developing advice for Level 2 implementation measures with leading figures from
CEIOPS, including Carlos Montalvo Rebuelta, Secretary General and Pauline de
Chatillon, Chair of Solvency II Financial Requirements Expert Group.
The event will enable you to learn what you need to do to get your internal
model approved from members of the CEIOPS Internal Models Expert Group including
Paolo Cadoni from the FSA and Mohamed Lechkar of De Nederlandsche Bank.
You will also hear from leading industry representatives including:
• Tom Wilson, Chief Risk Officer, Allianz
• Olav Jones, Chief Risk Officer, Fortis
• Patricia Plas, Director of Regulatory Affairs, Aegon NV
• Thaddeus Nyahasha, Director of Group Solvency, Aviva
on issues such as group-wide ERM, operational risk and the difference between
ORSA and internal models.
