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Dan Tutoring Profile
Finance, Statistics and Econometrics tutor with a Master’s in Finance from Imperial College London
I worked at a top London university between 2008 and 2011, where I taught a range of group tutorials, small seminars and lecturers in Risk Management and Financial Engineering. Since that time I have worked full-time as tutor at undergraduate through to PhD level. My teaching interests have broadened with time, from mathematical finance to a broad range of applied mathematical and statistical subjects. Among them are included:
Mathematical finance - Ito calculus, Black Scholes theory, option pricing.
Differential equations - theory and methods of solution, both analytical and numerical.
Maximum Likelihood Estimators (MLE) - theory and applications
Generalised Method of Moments (GMM) estimators, particularly of the dynamic panel variety - diff GMM, sys GMM and so on
Numerical optimisation - linear and nonlinear programming, hill climbing algorithms etc
Data Science and Machine Learning - classification algorithms, theory and implementation.
I also have extensive experience consulting on data-driven projects conducted in Stata, R, Matlab and Python, working to implement these ideas among many others.