Rasmus Nyberg is a Senior Data Engineer based in Stockholm with 8+ years of experience building data platforms and quantitative models for the financial sector. He combines deep domain expertise in credit risk (PD, LGD, CCF, IFRS9) with hands-on skills in SQL, Python, SAS, dbt and orchestration tools like Prefect, and has driven both platform engineering and productionalization of ML use-cases. At Handelsbanken he progressed from credit risk modeling and model validation into tech lead duties, shaping roadmaps and coordinating cross-team delivery for advanced analytics and AI. He now focuses on scalable ELT pipelines and lakehouse environments while maintaining low-level tooling such as a dbt adapter for IBM DB2. Known as a collaborative problem-solver, he thrives in flexible, data-driven teams and brings a practical mix of statistical rigor and production engineering. Outside work he channels the same discipline into sports and entrepreneurial web projects he co-founded earlier in his career.
Contributions:4 releases, 3 pushes, 1 branch in 1 year 5 months
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