Adrian Scheerer is an actuary and quantitative model validation expert with eight years' experience in finance and insurance, specializing in Market and Credit Risk, risk aggregation, and regulatory frameworks such as Solvency II and the Swiss Solvency Test. He holds a PhD in number theory and combines deep mathematical rigour with practical ML/AI advisory experience—having validated ML projects and helped integrate NLP and LLM techniques into underwriting use cases. Adrian has led governance redesigns and Group-level insurance risk initiatives at Zurich, run data science upskilling programs, and contributes clear technical writing and tutorials on ML and actuarial topics. Currently on a study-and-projects sabbatical in Zurich, he is upskilling in reinforcement learning, parallel programming, and cloud computing while open to collaborations, consulting, and startup support. An unusual strength is his ability to bridge pure academic research with production-facing regulatory work, making complex models both robust and auditable.
8 years of coding experience
9 years of employment as a software developer
Various, Various at Continuous education
Course Mathematical Finance, Course Mathematical Finance at University of Oxford
Doctor of Philosophy - PhD Mathematics, Doctor of Philosophy - PhD Mathematics at Technische Universität Graz
Actuary SAA Aktuar SAV, Actuary SAA Aktuar SAV at ETH Zürich
Contributions:19 commits, 17 pushes, 1 branch in 2 years 1 month
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