Summary
Oscar Nordström is a data scientist with eight years of practical experience blending applied mathematics and computer science to build quantitative solutions across finance, gaming, and music investment. Trained at KTH in Applied and Computational Mathematics, he has implemented algorithmic pricing models in Rust and Python, researched model compression for transformers, and prototyped novel ML techniques during internships at King and Sinch. Currently at RUN, he applies data-driven approaches to music investing, following prior work developing in-house investment tools at Cicero Fonder and quantitative systems at Abios. Comfortable moving from research to production, he pairs rigorous mathematical thinking with hands-on engineering and a proclivity for concise, high-performance code. An educator at heart, he has also mentored mathematically gifted children, signaling both strong communication skills and a taste for intellectually challenging problems.
8 years of coding experience
4 years of employment as a software developer
KTH Royal Institute of Technology
Upper secondary education, Science, Upper secondary education, Science at Stiftelsen Viktor Rydbergs Skolor