Moritz Wagner is a Data & Machine Learning Engineer based in Munich with 11 years of experience applying statistical rigor and ML to industry problems, especially in finance. He combines a strong academic foundation—a MSc in Statistics and a BSc in Economics, including study time in Copenhagen—with hands-on roles at inovex and Fraunhofer, where research met production. His background spans economic research, credit analysis, and consulting, giving him a rare fluency in both quantitative modeling and business-facing decision processes. At inovex he focuses on turning ML prototypes into robust data products, drawing on prior work at research institutes to bridge novel methods and engineering practices. Colleagues describe him as someone who gravitates toward digitalization challenges in financial services and who brings pragmatic solutions informed by research-grade statistical thinking. Outside core projects he tends to explore intersections of econometrics and machine learning, which often surfaces less-obvious but high-impact modeling choices.
11 years of coding experience
3 years of employment as a software developer
Ludwig Maximilian University of Munich
Economics, Economics at Københavns Universitet - University of Copenhagen
Contributions:7 releases, 1 review, 22 commits in 6 months
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