Summary
Jesse Frohlich is a Senior Quantitative Analyst with 11 years of professional experience and 15+ years of programming practice, combining deep mathematical training (PhD, MSc) with hands-on model building in production. At CIBC Capital Markets he develops AI-driven proxy selection and risk models, and previously delivered top-ranked data science projects predicting urban collision risk using XGBoost and other methods. An experienced educator and organizer, he has taught large university courses, mentored TAs, and expanded seminar accessibility—skills that translate into clear technical communication and team leadership. His research background includes pioneering C++ algorithms for 3D rendering and modernizing legacy codebases, reflecting a knack for translating theoretical insight into robust, production-ready software. Off-hours he’s often found on a bicycle, underscoring a practical, curious approach to problem solving and continuous learning.
11 years of coding experience
BSc with Honors, Mathematics, BSc with Honors, Mathematics at University of Alberta
Doctor of Philosophy - PhD, Mathematics, Doctor of Philosophy - PhD, Mathematics at University of Toronto