Summary
Erol Biceroglu is an investment policy manager and quantitative finance professional in Toronto with over a decade of experience applying statistical modeling, Monte Carlo simulation, and time-series analysis to portfolio construction and risk management. He blends an engineering background and a Master of Finance with hands-on expertise in Python, R, Matlab and advanced SQL to build shared analytics libraries, streamline data sourcing, and modernize risk infrastructure across large funds. At RBC he helped backtest and scale multi-billion dollar products while researching multi-asset factor models to reduce unintended exposures and improve client outcomes. Known for translating complex quantitative results into clear presentations for senior stakeholders, he also mentors MBA and co-op students to elevate team capability. A practical problem-solver, he pairs production-focused coding with domain depth in volatility trading, econometrics and quantitative investing.
11 years of coding experience
4 years of employment as a software developer
Advanced Trading Systems, Computational Finance & Risk Management, Advanced Trading Systems, Computational Finance & Risk Management at University of Washington
MFin, Master of Finance, MFin, Master of Finance at University of Toronto - Rotman School of Management
Langstaff Secondary
Bachelor of Applied Science, Industrial Engineering, Bachelor of Applied Science, Industrial Engineering at University of Toronto