Jan Šíla is a Prague-based quant analyst and developer with 11 years of experience at the intersection of machine learning, econometrics and finance, currently working at Second Foundation while co-leading a Prague software boutique he co-founded. He combines academic rigor—Master’s degrees with distinction and an ongoing PhD in Econometrics—with hands-on product delivery, from insurance fraud detection engines to retail recommenders and live-TV logo analysis. Comfortable across Python, R and production stacks, he has a track record of turning statistical research into deployable systems and teaching complex topics to both students and practitioners. Early finance roles covering blue-chip equities and building Bloomberg-backed research tools sharpened his market sense and quick decision-making under pressure. Known for bridging quantitative research and pragmatic engineering, he brings entrepreneurial drive and a history of leading small teams to produce measurable business impact.
10 years of coding experience
4 years of employment as a software developer
Pre-U Economics, Pre-U Politics, Maths, History, Pre-U Economics, Pre-U Politics, Maths, History at Oundle School
Doctor of Philosophy - PhD, Econometrics and Quantitative Economics, Doctor of Philosophy - PhD, Econometrics and Quantitative Economics at Charles University in Prague
Maturita, General Studies, Summa cum laude, Maturita, General Studies, Summa cum laude at Johannes Kepler Grammar School
Bachelor's Degree, Economic Theories and Finance, 2:1 degree, Bachelor's Degree, Economic Theories and Finance, 2:1 degree at Charles University in Prague, Faculty of Social Sciences
Master’s Degree, Financial Mathematics and Computation, Distinction, Master’s Degree, Financial Mathematics and Computation, Distinction at University of Leicester
Contributions:3 pushes, 1 branch in 2 years 3 months
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