Summary
Sebastian Seltmann is a data scientist and software engineer based in Frankfurt with eight years of experience applying machine learning and production software practices to financial problems. He combines hands-on engineering roles at Deutsche Bank with research and model-driven work at Deutsche Bundesbank, building and testing statistical models of financial data and operationalizing them in production systems. His academic background in finance and Wirtschaftsinformatik (BS and MS, top grades) enables him to bridge quantitative modeling, software engineering, and regulatory-grade reporting. Known for tackling complex problems collaboratively, he emphasizes clear communication of insights and pragmatic, testable solutions. A detail that stands out: he brings institutional banking experience to ML projects, making his models directly relevant for policy and risk contexts.
8 years of coding experience
Master of Science - MS, Finance, 1.4, Master of Science - MS, Finance, 1.4 at Frankfurt School of Finance & Management