The German Society for Insurance and Financial Mathematics (DGVFM) is a professional mathematical society comprised of experts working in Germany within the fields of insurance, financial mathematics, and qualitative risk management. The organization collaborates with the German Association of Actuaries (DAV) to achieve its objectives. DGVFM advances its mission through Continuing Professional Development (CPD) training seminars, conferences, and the publication of scientific works.

The DGVFM CPD Day is a regular event in the society’s calendar, featuring experts invited to deliver talks on various actuarial and non-actuarial subjects.

On February 20, 2025, the 17th edition of this event series focused on the topic “Uncertainty and Insurance”:

• “Rigorous and Efficient Evaluation of Machine Learning Algorithms”
  Michael Lingzhi Li (Harvard Business School)
• “Robust ALM: Dealing with Model Ambiguity”
  Antoon Pelsser (Universität Maastricht)
• “Uncertainty and Insurance – Political Risk and Credit”
  Alex Platts (Munich Re)

Find the recordings exclusively published below.