Summary
Daulet Moldabayev is a Senior Data Scientist and AVP in Internal Audit at Credit Suisse with 12 years of experience applying advanced analytics and ML to business problems across banking, insurance, and engineering domains. With a PhD in Applied and Computational Mathematics and a foundation in mathematical modelling from MSU and European universities, he blends rigorous research methods with hands-on production analytics. His career spans customer and claims analytics, asset integrity engineering, and advanced analytics roles where he built auditable, risk-aware models for regulated environments. Comfortable translating complex math into practical solutions, he brings particular strength in bridging research-grade methods and internal audit needs—making models both effective and explainable. Based in the Greater Zurich Area, he pairs cross-industry perspective with a strong academic pedigree to tackle high-stakes analytical challenges.
12 years of coding experience
9 years of employment as a software developer
PhD in Applied and Computational Mathematics, PhD in Applied and Computational Mathematics at University of Bergen (UiB)
Master of Science in Mathematical Modelling, Master of Science in Mathematical Modelling at Universitat Autònoma de Barcelona, University of Nice, University of L'Aquila
Lomonosov Moscow State University
Norwegian, Italian, French, Spanish, Kazakh, Russian, English