Machine learning project for financial

I have a clean dataset of around 150,000 observations over the last 15 years of certain financial events, with around around 10 features that can be used to predict returns. Note that because this is event data, instead of the normal random split of the dataset into training / testing, we need to only use historical data in the training set. If this works out well, there are many other similar datasets that I wish to analyze, and this will be a long term relationship with challenging, interesting and well compensated work. Skills: Machine learning (PCA, ANN, SVM, feature scaling, parameter optimization, ensemble algorithms, algorithm evaluation techniques), time series analysis, data visualization Packages: Python data analysis (ipython notebook, pandas, sklearn, seaborn / matplotlib) Must have strong verbal and written communication in English.