Join us for an in-depth two-part webinar series on our AXIS Actuarial System Optimization Tools. This series will explore advanced techniques in actuarial modeling, focusing on clustering and scenario reduction to optimize runtime performance in the AXIS system.
Part 1: Seriatim Data Compression - June 18th
Traditional data compression methods have evolved into advanced approaches like cluster compression, where representative policies within clusters are scaled to reduce runtime. This session introduces clustering in the AXIS system, focusing on the K-Means method. This method iteratively partitions data points into K clusters by minimizing distances, leveraging user-defined metrics or Principal Component Analysis (PCA) derived features for optimal grouping.
Part 2: Scenario Compression - June 25th
Actuarial models often require extensive Monte Carlo simulations across tens of thousands of economic scenarios to calculate future outcome distributions, leading to long run times. This session demonstrates how the combination of PCA and K-Means Clustering to group scenarios, along with stratified sampling to select representative subsets, can significantly reduce model runtime while maintaining accurate results.
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Agenda
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SpeakersMartin Le Roux Director, AXIS Client Support Moody's
Lan Tong Director-Product Training, Insurance solutions Moody's
Christopher Najjar Assc Dir-Programmer & Actuary, Insurance solutions Moody's
Yulia Nezlin Asst Dir-Actuarial Programmer, Insurance solutions Moody's
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Martin Le Roux, CFA, FSA, FCIA is a Director and Actuary with the AXIS Client Support team, focusing on asset modeling. Prior to joining the AXIS team he held positions in investment risk management and asset-liability management with several large life insurance companies in the US and Canada
Lan is a Director of Product Training for the AXIS™ Actuarial System business, based in Toronto, Lan brings a wealth of diverse experience from life insurance product pricing and valuation to actuarial audits and her role as an AXIS Actuarial Software Advocate and Educator. With over 18+ years at Moody's, her role has consistently evolved, culminating in her current position as the global coordinator of the AXIS Training Program, requiring comprehensive software knowledge, leadership, and effective coordination skills. Lan, a Fellow of the Canadian Institute of Actuaries and the Society of Actuaries, actively shapes future actuarial leaders. She sits on several actuarial association committees, including The Society of Actuaries North America Employers Council, advocating for Moody’s actuarial skill set needs. Lan also contributes her expertise to the Faculty of Admission Courses and the Exam Committees for both the SOA and the Canadian Institute of Actuaries.
Christopher Najjar, FSA, CERA, is an actuarial software engineer with expertise in ALM, hedge modeling, and scenario tools. He also leads efforts in the development and integration of AI tools in AXIS. Christopher holds an MS in Financial Mathematics and a BA in Actuarial Science from the University of Minnesota.
Yulia has worked for Moody's for 14 years. She creates machine learning tools that work for actuarial applications. Prior to Moody's, Yulia worked on weather forecasting and Climate Modeling at the University of Toronto. She has a PhD in Physics from Moscow University.