Summary
Ian Solliec is a Berlin-based Data Science Partner with a decade of experience marrying rigorous quantitative research and machine learning to solve real-world finance and product problems. Trained to PhD level in applied mathematics and holding an MSc in international economics, he moved from quantitative roles in fixed income and electronic trading at BNP Paribas into building and leading data science at Contiamo, where he now partners with clients to scope, implement and productionize ML solutions. He combines hands-on skills across Python, Docker, CatBoost and model monitoring with experience integrating notebooks into product workflows, and has a track record of shipping ML projects and internal tooling. Notably, his background spans high-frequency data projects and derivative pricing models, giving him uncommon fluency in both trading-floor quantitative rigor and pragmatic ML delivery.
10 years of coding experience
6 years of employment as a software developer
Master's Degree International Economics, Master's Degree International Economics at Sciences Po
Master's Degree Mathematics, Master's Degree Mathematics at Ecole Normale Supérieure de Cachan
Doctor of Philosophy (Ph.D.) Applied Mathematics, Doctor of Philosophy (Ph.D.) Applied Mathematics at Pierre and Marie Curie University
English, French, Spanish, Czech, German