Yves Haag is a Senior Risk Engineer and data scientist based in Zurich with eight years of experience building scalable analytics and ML solutions for financial and industrial domains. He has driven AML, sanctions and fraud detection initiatives at major Swiss banks, combining PySpark pipelines, Python frameworks for continuous KPI monitoring, and Generative AI to improve alert classification and model parameterization. Yves pairs hands-on model development with building sustainable data foundations, reporting frameworks and deployable tooling that strengthen non-financial risk measurement and regulatory transparency. His background spans biomedical engineering, computer vision for building attribute extraction, and embedded software—an uncommon cross-disciplinary mix that helps him translate complex domain problems into robust, auditable analytics. Known for reducing operational friction (e.g., automated monitoring and labelling tools) he focuses on pragmatic, production-ready solutions that deliver measurable risk reduction.
8 years of coding experience
5 years of employment as a software developer
Master of Science - MSc, Mechanical Engineering / Biomedical Engineering, Master of Science - MSc, Mechanical Engineering / Biomedical Engineering at ETH Zürich
An optimization-based multi-sensor state estimator
Contributions:6 pushes, 2 branches in 1 year 2 months
optimizationmulti-sensorsensorestimator
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Yves Haag - Senior Risk Engineer at Zürcher Kantonalbank