Daniel Bischof

Background

About Daniel Bischof

Mathematician with outstanding modeling abilities, specialised knowledge in both applied and theoretical mathematics and proven experience in risk and valuation Strong experience with various advanced stochastic topics such as extreme value theory, Monte Carlo, stochastic calculus, computational statistics, various machine learning and model calibration techniques and broad numerical skill set in FEM/FVM to develop fast, intelligent and efficient solvers for partial differential equations Expert in Python and good experience in a variety of other languages including Rust and several SQL dialects, multiple years of experience in software design and technical project management Excels in fast-paced and high-pressured environments, independent, very detail-oriented, with streamlead experience in cross-functional projects, great interpersonal and social skills, always curious and enjoys learning continuously