Solvency II in the Insurance Industry

Maria Heep-Altiner is the head of the Research Group Financial & Actuarial Risk Management (FaRis) of the Institute for Insurance Studies at the TH Köln - University of Applied Science and as a lecturer responsible for the topic “Financial Management in Insurance Companies” where she has published several monographs in the past.Furthermore, she is a board member of the German Actuarial Association (DAV) as well as a scientific member of the advisory board of the German Insurance Supervisor (BaFin). In the past, Ms. Heep-Altiner has also been a scientific member of the EIOPA Insurance and Reinsurance Stakeholder Group.Martin Mullins is the head of the Department of Accounting and Finance at the Kemmy Business School (University of Limerick) and a Senior Lecturer in Risk and Insurance. He is currently working on a number of insurance related research projects, including three EU Commission funded projects in the area of emerging technologies and risk transfer. He maintains strong links with the insurance industry and works closely with Lloyd’s of London and XL Catlin on emerging risk.His work also encompasses the area of applied ethics as it pertains to new technologies. He is member of the international advisory board at The Center for Ethics & Value Inquiry (CEVI) at the Ghent University in Belgium. In the past, Martin Mullins has been a key member of an EU-China partnership team engaging with civil servants and academics in the area of financial regulation across China. Torsten Rohlfs is a member of the Research Group Financial & Actuarial Risk Management (FaRis) of the Institute for Insurance Studies at the TH Köln - University of Applied Science and as a lecturer responsible for the topic “Risk Management in the Insurance Industry” where he has published several monographs in the past.Furthermore, he is a member of the Chamber of Public Accountants (WPK) and a member of the Assekurata Rating Committee.

• Chapter 1. Introduction.- Chapter 2. Application of the Data Model – Pillar One.- Chapter 3. Application of the Data Model – Pillar Two.- Chapter 4. Application of the Data Model – Pillar Three.